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Autor Dongarra, Jack |
Documentos disponibles escritos por este autor (7)
Crear una solicitud de compra Refinar búsquedaComputational Science – ICCS 2018 / Shi, Yong ; Fu, Haohuan ; Tian, Yingjie ; Krzhizhanovskaya, Valeria V. ; Lees, Michael Harold ; Dongarra, Jack ; Sloot, Peter M. A.
TÃtulo : Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXXIV, 730 p. 294 ilustraciones ISBN/ISSN/DL: 978-3-319-93698-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación IngenierÃa Informática Red de computadoras Inteligencia artificial Protección de datos Ciencias sociales diseño lógico TeorÃa de la Computación IngenierÃa Informática y Redes Seguridad de datos e información Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 + 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artÃculos completos y 66 artÃculos breves presentados en este conjunto de libros fue cuidadosamente revisado y seleccionado entre 404 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa de avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Seguimiento de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Track de DesafÃos Biomédicos y Bioinformáticos para la Informática; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Seguimiento de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de métodos y algoritmos-matemáticos para escala extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; Papeles para carteles. Nota de contenido: ICCS Main Track -- Optimizing the Efficiency, Vulnerability and Robustness of Road-based Para-transit Networks using Genetic Algorithm -- On the Configuration of Robust Static Parallel Portfolios for Efficient Plan Generation -- SDF-Net: Real-time Rigid Object Tracking Using a Deep Signed Distance Network -- Insider Threat Detection with Deep Neural Network -- Pheromone Model Based Visualization of Malware Distribution Networks -- Detecting Wildlife in Unmanned Aerial Systems Imagery using Convolutional Neural Networks Trained with an Automated Feedback Loop -- Incentive Mechanism for Cooperative Intrusion Detection: an Evolutionary Game Approach -- Hybrid Genetic Algorithm for an On-Demand First Mile Transit System using Electric Vehicles -- Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery -- Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems -- Recognition and Classification of Rotorcraft by Micro-Doppler Signatures using Deep Learning -- Data Allocation based on Evolutionary Data Popularity Clustering -- Hyper-heuristic Online Learning for Self-assembling Swarm Robots -- An Innovative Heuristic for Planning-based Urban Traffic Control. -Automatic Web News Extraction Based on DS Theory Considering Content Topics -- DomainObserver: A Lightweight Solution for Detecting Malicious Domains Based on Dynamic Time Warping -- You Have More Abbreviations than You Know: A Study of AbbrevSquatting Abuse -- Large Scale Retrieval of Social Network Pages by Interests of Their Followers -- Parallel data-driven modeling of information spread in social networks -- Topology of Thematic Communities in Online Social Networks: A Comparative Study -- Topological street-network characterization through feature-vector and cluster analysis -- A distance-based tool-set to track inconsistent urban structures through complex-networks -- A Conceptual Framework for Social Movements Analytics for National Security -- Retweet Prediction using Social-aware Probabilistic Matrix Factorization -- Cascading Failure Based on Load Redistribution of a Smart Grid with Different Coupling Modes -- Measuring social responsiveness for improved handling of extreme situations -- A Computational Model-Based Framework to Plan Clinical Experiments – an Application to Vascular Adaptation Biology -- Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies -- Spiral wave drift induced by high-frequency forcing. Parallel simulation in the Luo-Rudy anisotropic model of cardiac tissue -- Understanding Malaria induced red blood cell deformation using data-driven Lattice Boltzmann Simulations -- Towards Model-based Policy Elaboration on City Scale using Game Theory: Application to Ambulance Dispatching -- Elucidation of Mechanism for Reducing Porosity in Electric Arc Spraying through CFD -- nSharma: Numerical Simulation Heterogeneity Aware Runtime Manager for OpenFOAM -- High Performance Computational Hydrodynamic Simulations: UPC Parallel Architecture as a Future Alternative -- Classifying Aircraft Approach Type in the National General Aviation Flight Information Database -- On Parametric Excitation for Exploration of Lava Tubes and Caves -- Global Simulation of Planetary Rings on Sunway TaihuLight -- Parallel Performance Analysis of Bacterial Biofilm Simulation Models -- Parallel Solutions to the k-difference Primer Problem -- RT-DBSCAN: Real-time Parallel Clustering of Spatio-Temporal Data using Spark-Streaming -- GPU-based implementation of Ptycho-ADMM for high performance X-ray imaging -- Elastic CPU Cap Mechanism for Timely Dataflow Applications -- Blockchain-based transaction integrity in distributed big data marketplace -- Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer -- The Design of Fast and Energy-Efficient Linear Solvers: On The potential Of Half Precision Arithmetic And Iterative Refinement Techniques -- Design of Parallel BEM Analyses Framework for SIMD Processors -- An experimental assessment of three point-insertion sequences for 3-D incremental Delaunay tessellations -- Learning Knowledge Graph Embeddings via Generalized Hyperplanes -- Fast Higher-Order Functions for Tensor Calculus with Tensors and Subtensors -- The t-modified self-shrinking generator -- Simulating Negotiation-based Cloud Markets -- Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena -- Sparse Surface Speed Evaluation on a Dynamic Three-Dimensional Surface Using an Iterative Partitioning Scheme -- Accurate, Automatic and Compressed Visualization of Radiated Helmholtz Fields from Boundary Element Solutions. Tipo de medio : Computadora Summary : The three-volume set LNCS 10860, 10861 + 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, and Computation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I / [documento electrónico] / Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., . - 1 ed. . - [s.l.] : Springer, 2018 . - XXXIV, 730 p. 294 ilustraciones.
ISBN : 978-3-319-93698-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación IngenierÃa Informática Red de computadoras Inteligencia artificial Protección de datos Ciencias sociales diseño lógico TeorÃa de la Computación IngenierÃa Informática y Redes Seguridad de datos e información Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 + 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artÃculos completos y 66 artÃculos breves presentados en este conjunto de libros fue cuidadosamente revisado y seleccionado entre 404 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa de avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Seguimiento de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Track de DesafÃos Biomédicos y Bioinformáticos para la Informática; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Seguimiento de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de métodos y algoritmos-matemáticos para escala extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; Papeles para carteles. Nota de contenido: ICCS Main Track -- Optimizing the Efficiency, Vulnerability and Robustness of Road-based Para-transit Networks using Genetic Algorithm -- On the Configuration of Robust Static Parallel Portfolios for Efficient Plan Generation -- SDF-Net: Real-time Rigid Object Tracking Using a Deep Signed Distance Network -- Insider Threat Detection with Deep Neural Network -- Pheromone Model Based Visualization of Malware Distribution Networks -- Detecting Wildlife in Unmanned Aerial Systems Imagery using Convolutional Neural Networks Trained with an Automated Feedback Loop -- Incentive Mechanism for Cooperative Intrusion Detection: an Evolutionary Game Approach -- Hybrid Genetic Algorithm for an On-Demand First Mile Transit System using Electric Vehicles -- Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery -- Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems -- Recognition and Classification of Rotorcraft by Micro-Doppler Signatures using Deep Learning -- Data Allocation based on Evolutionary Data Popularity Clustering -- Hyper-heuristic Online Learning for Self-assembling Swarm Robots -- An Innovative Heuristic for Planning-based Urban Traffic Control. -Automatic Web News Extraction Based on DS Theory Considering Content Topics -- DomainObserver: A Lightweight Solution for Detecting Malicious Domains Based on Dynamic Time Warping -- You Have More Abbreviations than You Know: A Study of AbbrevSquatting Abuse -- Large Scale Retrieval of Social Network Pages by Interests of Their Followers -- Parallel data-driven modeling of information spread in social networks -- Topology of Thematic Communities in Online Social Networks: A Comparative Study -- Topological street-network characterization through feature-vector and cluster analysis -- A distance-based tool-set to track inconsistent urban structures through complex-networks -- A Conceptual Framework for Social Movements Analytics for National Security -- Retweet Prediction using Social-aware Probabilistic Matrix Factorization -- Cascading Failure Based on Load Redistribution of a Smart Grid with Different Coupling Modes -- Measuring social responsiveness for improved handling of extreme situations -- A Computational Model-Based Framework to Plan Clinical Experiments – an Application to Vascular Adaptation Biology -- Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies -- Spiral wave drift induced by high-frequency forcing. Parallel simulation in the Luo-Rudy anisotropic model of cardiac tissue -- Understanding Malaria induced red blood cell deformation using data-driven Lattice Boltzmann Simulations -- Towards Model-based Policy Elaboration on City Scale using Game Theory: Application to Ambulance Dispatching -- Elucidation of Mechanism for Reducing Porosity in Electric Arc Spraying through CFD -- nSharma: Numerical Simulation Heterogeneity Aware Runtime Manager for OpenFOAM -- High Performance Computational Hydrodynamic Simulations: UPC Parallel Architecture as a Future Alternative -- Classifying Aircraft Approach Type in the National General Aviation Flight Information Database -- On Parametric Excitation for Exploration of Lava Tubes and Caves -- Global Simulation of Planetary Rings on Sunway TaihuLight -- Parallel Performance Analysis of Bacterial Biofilm Simulation Models -- Parallel Solutions to the k-difference Primer Problem -- RT-DBSCAN: Real-time Parallel Clustering of Spatio-Temporal Data using Spark-Streaming -- GPU-based implementation of Ptycho-ADMM for high performance X-ray imaging -- Elastic CPU Cap Mechanism for Timely Dataflow Applications -- Blockchain-based transaction integrity in distributed big data marketplace -- Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer -- The Design of Fast and Energy-Efficient Linear Solvers: On The potential Of Half Precision Arithmetic And Iterative Refinement Techniques -- Design of Parallel BEM Analyses Framework for SIMD Processors -- An experimental assessment of three point-insertion sequences for 3-D incremental Delaunay tessellations -- Learning Knowledge Graph Embeddings via Generalized Hyperplanes -- Fast Higher-Order Functions for Tensor Calculus with Tensors and Subtensors -- The t-modified self-shrinking generator -- Simulating Negotiation-based Cloud Markets -- Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena -- Sparse Surface Speed Evaluation on a Dynamic Three-Dimensional Surface Using an Iterative Partitioning Scheme -- Accurate, Automatic and Compressed Visualization of Radiated Helmholtz Fields from Boundary Element Solutions. Tipo de medio : Computadora Summary : The three-volume set LNCS 10860, 10861 + 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, and Computation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part II Tipo de documento: documento electrónico Autores: Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIX, 884 p. 296 ilustraciones ISBN/ISSN/DL: 978-3-319-93701-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación IngenierÃa Informática Red de computadoras Inteligencia artificial Protección de datos Ciencias sociales diseño lógico TeorÃa de la Computación IngenierÃa Informática y Redes Seguridad de datos e información Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 y 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artÃculos completos y 66 artÃculos cortos presentados en este conjunto de libros se revisaron cuidadosamente y se seleccionaron de 404 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Tema principal de ICCS Parte II: Tema de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Tema de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Tema de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; Tema de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Tema de desafÃos biomédicos y bioinformáticos para la ciencia de la computación; Tema de finanzas computacionales e inteligencia empresarial; Tema de optimización computacional, modelado y simulación; Pista de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Pista de Métodos Matemáticos y Algoritmos para Escala Extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Pista de Solución de Problemas con Incertidumbres; Pista de Enseñanza de Ciencias Computacionales; ArtÃculos en Pósteres. Nota de contenido: Track of Advances in High-Performance Computational Earth -- Sciences: Applications and Frameworks Development of scalable three-dimensional elasto-plastic nonlinear wave propagation analysis method for earthquake damage estimation of soft grounds -- A New Matrix-free Approach for Large-scale Geodynamic Simulations and its Performance -- Viscoelastic Crustal Deformation Computation Method with Reduced Random Memory Accesses for GPU-based Computers -- An Event Detection Framework for Virtual Observation System: Anomaly Identification for An Acme Land Simulation -- Enabling Adaptive Mesh Refinement for Single Components of ECHAM6 -- Efficient and accurate evaluation of Bezier tensor product surfaces -- Track of Agent-based simulations, adaptive algorithms and solvers Agent-Based Simulations, Adaptive Algorithms and Solvers -- Hybrid Swarm and Agent-based Evolutionary Optimization -- Data-driven Agent-based Simulation for Pedestrian Capacity Analysis -- A Novel Agent-based Modeling Approach forImage Coding and Lossless Compression Based on the Wolf-Sheep Predation Model -- Planning Optimal Path Networks Using Dynamic Behavioral Modeling -- Multiagent context–dependent model of opinion dynamics in a virtual society -- An algorithm for tensor product approximation of three-dimensional material data for implicit dynamics simulations -- Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning Applications of Matrix Methods in Artificial Intelligence and Machine Learning -- On Two Kinds of Dataset Decomposition -- A Graph-based Algorithm for Supervised Image Classification -- An Adversarial Training Framework for Relation Classification -- Topic-Based Microblog Polarity Classification Based on Cascaded Model -- An Efficient Deep Learning Model for Recommender Systems -- Standardization of Featureless Variables for Machine Learning Models using Natural Language Processing (NLP) -- Generalized Variable Conversion using K-means Clustering and Web Scraping -- Parallel Latent Dirichlet Allocation on GPUs -- Improving Search through A3C Reinforcement Learning based Conversational Agent -- Track of Architecture, Languages, Compilation and Hardware support for Emerging ManYcore systems Architecture Emulation and Simulation of Future Many-Core Epiphany RISC Array Processors -- Automatic mapping for OpenCL-Programs on CPU/GPU Heterogeneous Platforms -- Track of Biomedical and Bioinformatics Challenges for Computer Science, 11th Workshop on Biomedical and Bioinformatics Challenges for Computer Science: new computational models, algorithms and computer architectures -- Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection -- CT medical imaging reconstruction using direct algebraic methods with few projections -- On blood viscosity and its correlation with biological parameters -- Development of Octree-Based High-Quality Mesh Generation Method for Biomedical Simulation -- 1,000x Faster than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators -- Track of Computational Finance and Business Intelligence -- Deep Learning and Wavelets for High-Frequency Price Forecasting -- Kernel Extreme Learning Machine for Learning from Label Proportions -- Extreme Market Prediction for Trading Signal with Deep Recurrent Neural Network -- Multi-view Multi-task Support Vector Machine -- Research on Stock Price Forecast Based on News Sentiment Analysis –A Case Study of Alibaba -- Parallel Harris Corner Detection on Heterogeneous Architecture -- A New Method for Structured Learning with Privileged Information -- An Effective Model between Mobile Phone Usage and P2P Default Behavior -- A Novel Data Mining Approach towards Human Resource Performance Appraisal -- Word Similarity Fails in Multiple Sense Word Embedding -- Track of Computational Optimization, Modelling and Simulation A hybrid optimization algorithm for electric motor design -- Dynamic Current Distribution in the Electrodes of Submerged Arc Furnace using Scalar and Vector Potentials -- Optimizing Deep Learning by Hyper Heuristic Approach for Classifying Good Quality Images -- An Agent-based Distributed Approach for Bike Sharing Systems -- A fast vertex-swap operator for the prize-collecting Steiner tree problem -- Solving CSS-Sprite Packing Problem using a Transformation to the Probabilistic Non-Oriented Bin Packing Problem -- Optimization of Resources Selection for Jobs Scheduling in Heterogeneous Distributed Computing Environments -- Explicit Size-Reduction-Oriented Design of a Compact Microstrip Rat-Race Coupler Using Surrogate-Based Optimization Methods -- Stochastic-Expansions-Based MAPOD Analysis of the Spherically-Void-Defect Benchmark Problem -- Accelerating Optical Absorption Spectra and Exciton Energy Computation via Interpolative Separable Density Fitting -- Model-Assisted Probability of Detection for Structural Health Monitoring of Flat Plates -- Track of Data, Modeling, and Computation in IoT and Smart Systems Anomalous Trajectory Detection between Regions of Interest Based on ANPR System -- Dynamic real-time infrastructure planning and deployment for disaster early warning systems -- Calibration and Monitoring of IoT Devices by Means of Embedded Scientific Visualization Tools -- Gated Convolutional LSTM for Speech Commands Recognition -- Enabling machine learning on resource constrained devices by source code generation of the learned models -- Track of Data-Driven Computational Sciences Fast Retrieval of Weather Analogues in a Multi-petabytes Archive using Wavelet-based Fingerprints -- Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model -- Analyzing Complex Models using Data and Statistics -- Research on Technology Foresight Method Based on Intelligent Convergence in Open Network Environment -- Prediction of Blasting Vibration Intensity by Improved PSO-SVR on Apache Spark Cluster -- Bisections-weighted-by-element-size-and-order algorithm to optimize direct solver performance on 3D hp-adaptive grids -- Establishing EDI for a Clinical Trial of a Treatment for Chikungunya -- Deadlock Detection in MPI Programs Using Static Analysis and Symbolic Execution -- Track of Mathematical-Methods-and-Algorithms for Extreme Scale Reproducible Roulette Wheel Sampling for Message Passing Environments -- Speedup of Bicubic Spline Interpolation -- Track of Multiscale Modelling and Simulation Multiscale Modelling and Simulation, 15th International Workshop -- Optimized Eigenvalue Solvers for the Neutron Transport Equation -- Multi-scale homogenization of pre-treatment rapid and slow filtration processes with experimental and computational validations. - The solution of the lambda modes problem using block iterative eigensolvers -- A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation -- Development of a multiscale simulation approach for forced migration. Tipo de medio : Computadora Summary : The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, andComputation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part II [documento electrónico] / Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., . - 1 ed. . - [s.l.] : Springer, 2018 . - XIX, 884 p. 296 ilustraciones.
ISBN : 978-3-319-93701-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación IngenierÃa Informática Red de computadoras Inteligencia artificial Protección de datos Ciencias sociales diseño lógico TeorÃa de la Computación IngenierÃa Informática y Redes Seguridad de datos e información Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 y 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artÃculos completos y 66 artÃculos cortos presentados en este conjunto de libros se revisaron cuidadosamente y se seleccionaron de 404 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Tema principal de ICCS Parte II: Tema de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Tema de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Tema de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; Tema de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Tema de desafÃos biomédicos y bioinformáticos para la ciencia de la computación; Tema de finanzas computacionales e inteligencia empresarial; Tema de optimización computacional, modelado y simulación; Pista de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Pista de Métodos Matemáticos y Algoritmos para Escala Extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Pista de Solución de Problemas con Incertidumbres; Pista de Enseñanza de Ciencias Computacionales; ArtÃculos en Pósteres. Nota de contenido: Track of Advances in High-Performance Computational Earth -- Sciences: Applications and Frameworks Development of scalable three-dimensional elasto-plastic nonlinear wave propagation analysis method for earthquake damage estimation of soft grounds -- A New Matrix-free Approach for Large-scale Geodynamic Simulations and its Performance -- Viscoelastic Crustal Deformation Computation Method with Reduced Random Memory Accesses for GPU-based Computers -- An Event Detection Framework for Virtual Observation System: Anomaly Identification for An Acme Land Simulation -- Enabling Adaptive Mesh Refinement for Single Components of ECHAM6 -- Efficient and accurate evaluation of Bezier tensor product surfaces -- Track of Agent-based simulations, adaptive algorithms and solvers Agent-Based Simulations, Adaptive Algorithms and Solvers -- Hybrid Swarm and Agent-based Evolutionary Optimization -- Data-driven Agent-based Simulation for Pedestrian Capacity Analysis -- A Novel Agent-based Modeling Approach forImage Coding and Lossless Compression Based on the Wolf-Sheep Predation Model -- Planning Optimal Path Networks Using Dynamic Behavioral Modeling -- Multiagent context–dependent model of opinion dynamics in a virtual society -- An algorithm for tensor product approximation of three-dimensional material data for implicit dynamics simulations -- Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning Applications of Matrix Methods in Artificial Intelligence and Machine Learning -- On Two Kinds of Dataset Decomposition -- A Graph-based Algorithm for Supervised Image Classification -- An Adversarial Training Framework for Relation Classification -- Topic-Based Microblog Polarity Classification Based on Cascaded Model -- An Efficient Deep Learning Model for Recommender Systems -- Standardization of Featureless Variables for Machine Learning Models using Natural Language Processing (NLP) -- Generalized Variable Conversion using K-means Clustering and Web Scraping -- Parallel Latent Dirichlet Allocation on GPUs -- Improving Search through A3C Reinforcement Learning based Conversational Agent -- Track of Architecture, Languages, Compilation and Hardware support for Emerging ManYcore systems Architecture Emulation and Simulation of Future Many-Core Epiphany RISC Array Processors -- Automatic mapping for OpenCL-Programs on CPU/GPU Heterogeneous Platforms -- Track of Biomedical and Bioinformatics Challenges for Computer Science, 11th Workshop on Biomedical and Bioinformatics Challenges for Computer Science: new computational models, algorithms and computer architectures -- Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection -- CT medical imaging reconstruction using direct algebraic methods with few projections -- On blood viscosity and its correlation with biological parameters -- Development of Octree-Based High-Quality Mesh Generation Method for Biomedical Simulation -- 1,000x Faster than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators -- Track of Computational Finance and Business Intelligence -- Deep Learning and Wavelets for High-Frequency Price Forecasting -- Kernel Extreme Learning Machine for Learning from Label Proportions -- Extreme Market Prediction for Trading Signal with Deep Recurrent Neural Network -- Multi-view Multi-task Support Vector Machine -- Research on Stock Price Forecast Based on News Sentiment Analysis –A Case Study of Alibaba -- Parallel Harris Corner Detection on Heterogeneous Architecture -- A New Method for Structured Learning with Privileged Information -- An Effective Model between Mobile Phone Usage and P2P Default Behavior -- A Novel Data Mining Approach towards Human Resource Performance Appraisal -- Word Similarity Fails in Multiple Sense Word Embedding -- Track of Computational Optimization, Modelling and Simulation A hybrid optimization algorithm for electric motor design -- Dynamic Current Distribution in the Electrodes of Submerged Arc Furnace using Scalar and Vector Potentials -- Optimizing Deep Learning by Hyper Heuristic Approach for Classifying Good Quality Images -- An Agent-based Distributed Approach for Bike Sharing Systems -- A fast vertex-swap operator for the prize-collecting Steiner tree problem -- Solving CSS-Sprite Packing Problem using a Transformation to the Probabilistic Non-Oriented Bin Packing Problem -- Optimization of Resources Selection for Jobs Scheduling in Heterogeneous Distributed Computing Environments -- Explicit Size-Reduction-Oriented Design of a Compact Microstrip Rat-Race Coupler Using Surrogate-Based Optimization Methods -- Stochastic-Expansions-Based MAPOD Analysis of the Spherically-Void-Defect Benchmark Problem -- Accelerating Optical Absorption Spectra and Exciton Energy Computation via Interpolative Separable Density Fitting -- Model-Assisted Probability of Detection for Structural Health Monitoring of Flat Plates -- Track of Data, Modeling, and Computation in IoT and Smart Systems Anomalous Trajectory Detection between Regions of Interest Based on ANPR System -- Dynamic real-time infrastructure planning and deployment for disaster early warning systems -- Calibration and Monitoring of IoT Devices by Means of Embedded Scientific Visualization Tools -- Gated Convolutional LSTM for Speech Commands Recognition -- Enabling machine learning on resource constrained devices by source code generation of the learned models -- Track of Data-Driven Computational Sciences Fast Retrieval of Weather Analogues in a Multi-petabytes Archive using Wavelet-based Fingerprints -- Assimilation of fire perimeters and satellite detections by minimization of the residual in a fire spread model -- Analyzing Complex Models using Data and Statistics -- Research on Technology Foresight Method Based on Intelligent Convergence in Open Network Environment -- Prediction of Blasting Vibration Intensity by Improved PSO-SVR on Apache Spark Cluster -- Bisections-weighted-by-element-size-and-order algorithm to optimize direct solver performance on 3D hp-adaptive grids -- Establishing EDI for a Clinical Trial of a Treatment for Chikungunya -- Deadlock Detection in MPI Programs Using Static Analysis and Symbolic Execution -- Track of Mathematical-Methods-and-Algorithms for Extreme Scale Reproducible Roulette Wheel Sampling for Message Passing Environments -- Speedup of Bicubic Spline Interpolation -- Track of Multiscale Modelling and Simulation Multiscale Modelling and Simulation, 15th International Workshop -- Optimized Eigenvalue Solvers for the Neutron Transport Equation -- Multi-scale homogenization of pre-treatment rapid and slow filtration processes with experimental and computational validations. - The solution of the lambda modes problem using block iterative eigensolvers -- A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation -- Development of a multiscale simulation approach for forced migration. Tipo de medio : Computadora Summary : The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, andComputation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11–13, 2018 Proceedings, Part III / Tipo de documento: documento electrónico Autores: Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XX, 866 p. 331 ilustraciones ISBN/ISSN/DL: 978-3-319-93713-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación IngenierÃa Informática Red de computadoras Inteligencia artificial Protección de datos Ciencias sociales diseño lógico TeorÃa de la Computación IngenierÃa Informática y Redes Seguridad de datos e información Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 y 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artÃculos completos y 66 artÃculos cortos presentados en este conjunto de libros se revisaron cuidadosamente y se seleccionaron de 404 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Tema principal de ICCS Parte II: Tema de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Tema de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Tema de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; Tema de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Tema de desafÃos biomédicos y bioinformáticos para la ciencia de la computación; Tema de finanzas computacionales e inteligencia empresarial; Tema de optimización computacional, modelado y simulación; Pista de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Pista de Métodos Matemáticos y Algoritmos para Escala Extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Pista de Solución de Problemas con Incertidumbres; Pista de Enseñanza de Ciencias Computacionales; ArtÃculos en Pósteres. Nota de contenido: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Simulations of Flow and Transport: Modeling, Algorithms and Computation -- ALE Method for a Rotating Structure Immersed in the Fluid and Its Application to the Artificial Heart Pump in Hemodynamics -- Free Surface Flow Simulation of Fish Turning Motion -- Circular Function-Based Gas-kinetic Scheme for Simulation of Viscous Compressible Flows -- A new edge stabilization method for the convection-dominated diffusion-convection equations -- Symmetric Sweeping Algorithms for Intersections of Two Quadrilateral Mesh -- A Two-field Finite Element Solver for Poroelasticity on Quadrilateral Meshes -- Preprocessing parallelization for the ALT-algorithm -- Efficient Linearly and Unconditionally Energy Stable Schemes for the Phase Field Model of Solid-State Dewetting Problems -- A novel energy stable numerical scheme for Navier-Stokes-Cahn-Hilliard two-phase flow model with variable densities and viscosities -- Study on Numerical Methods for Gas Flow Simulation Using Double-Porosity Double-Permeability Model -- Molecular Simulation of Displacement of Methane by Injection Gases in Shale -- A Compact and Efficient Lattice Boltzmann Scheme to Simulate Complex Thermal Fluid Flows -- Study on topology-based identification of sources of vulnerability for natural gas pipeline networks -- LES study on high Reynolds turbulent drag-reducing flow of viscoelastic fluids based on multiple relaxation times constitutive model and mixed subgrid-scale model -- Track of Solving Problems with Uncertainties Statistical and Multivatiate Analysis Applied to a Database of Patients with Type-2 Diabetes -- Novel Monte Carlo Algorithm for Solving Singular Linear Systems -- Reducing Data Uncertainty in Forest Fire Spread Prediction: a Matter of Error Function Assessment -- Analysis of the accuracy of OpenFOAM solvers for the problem of supersonic flow around a cone -- Modification Of Interval Arithmetic For Modelling And Solving UncertainlyDefined Problems By Interval Parametric Integral Equations System -- A Hybrid Heuristic for the Probabilistic Capacitated Vehicle Routing Problem with Two-Dimensional Loading Constraints -- A human-inspired model to represent uncertain knowledge in the Semantic Web -- Bayesian based approach learning for outcome prediction of soccer matches -- Fuzzy and Data-Driven Urban Crowds -- Track of Teaching Computational Science Design and Analysis of an Undergraduate Computational Engineering Degree at Federal University of Juiz de Fora -- Extended Cognition Hypothesis View on Computational Thinking in Computer Science Education -- Interconnected Enterprise Systems - A Call for New Teaching Approaches -- Poster Papers -- Efficient Characterization of Hidden Processor Memory Hierarchies -- Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter -- Mathematical Modelling of Wormhole-routed x-Folded TM Topology in the Presence of Uniform Traffic -- Adaptive Time-Splitting Scheme for Nanoparticles Transport with Two-phase Flow in Heterogeneous Porous Media -- Identifying Central Individuals in Organised Criminal Groups and Underground Marketplaces -- Guiding the optimization of parallel codes on multicores using an analytical cache model -- LDA-Based Scoring of Sequences Generated by RNN for Automatic Tanka Composition -- Computing Simulation of Interactions between α + β ProteinandJanusNanoparticle -- A modified bandwidth reduction heuristic based on the WBRA and George-Liu algorithm -- Improving Large-scale Fingerprint-based Queries in Distributed Infrastructure -- A Effective Truth Discovery Algorithm with Multi-Source Sparse Data -- Blackboard Meets Dijkstra for Resource Allocation Optimization -- Augmented Self-paced Learning with Generative Adversarial Networks -- Benchmarking Parallel Chess Search in Stockfish on Intel Xeon and Intel Xeon Phi Processors -- Leveraging Uncertainty Analysis of Data to Evaluate User Influence Algorithms of Social Networks -- E-Zone: A faster Neighbor Point Query Algorithm For Matching Spacial Objects -- Application of Algorithmic Differentiation for Exact Jacobians to the Universal Laminar Flame Solver -- Morph Resolution Based on Autoencoders Combined with Effective Context Information -- Old Habits Die Hard: Fingerprinting Websites On The Cloud -- Deep Streaming Graph Representations -- Adversarial Reinforcement Learning for Chinese Text Summarization -- Column Concept Determination for Chinese Web Tables via Convolutional Neural Network -- Service-oriented approach for Internet of Things -- Adversarial Framework for General Image Inpainting -- A Stochastic Model to Simulate the Spread of Leprosy in Juiz de For a -- Data Fault Identification and Repair Method of Traffic Detector -- The valuation of CCIRS with a new design -- Method of Node Importance Measurement in Urban Road Network -- AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting -- Analysis ofBluetooth Low Energy Detection Range Improvements for the Healthcare Environment -- Study on an N-parallel FENE-P constitutive model based on multiple relaxation times for viscoelastic fluid -- RADIC based Fault Tolerance System with Dynamic Resource Controller -- Effective Learning with Joint Discriminative and Representative Feature Selection -- Agile tuning method in successive steps for a river flow simulator -- A Parallel Quicksort Algorithm on Manycore Processors in Sunway TaihuLight -- How is the Forged Certificates in the Wild: Practice on Large-scale SSL Usage Measurement and Analysis -- Managing Cloud Data Centers with Three-state Server Model under Job Abandonment Phenomenon -- The Analysis of the Effectiveness of the Perspective-based Observational Tunnels Method by the Example of the Evaluation of Possibilities to Divide the Multidimensional Space of Coal Samples -- Urban data and spatial segregation: analysis of food services clusters in St. Petersburg, Russia -- Control driven lighting design for large-scale installations -- An OpenMP implementation of the TVD-Hopmoc method based on a synchronization mechanism using locks between adjacent threads on Xeon Phi accelerators -- Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds -- Large margin proximal non-parallel support vector classifiers -- The multi-core optimization of the unbalanced calculation in the clean numerical simulation of Rayleigh-Benard turbulence -- ES-GP: An Effective Evolutionary Regression Framework with Gaussian Process and Adaptive Segmentation Strategy -- Evaluating Dynamic Scheduling of Tasks in Mobile Architectures using ParallelME Framework -- An OAuth2.0-Based Unified Authentication System for Secure Services in the Smart Campus Environment -- Time Series Cluster analysis on electricity consumption of North Hebei Province in China -- Effective Semi-supervised Learning Based on Local Correlation -- Detection and Prediction of House Price Bubbles: Evidence from a New City -- A NovelParsing-based Automatic Domain Terminology Extraction Method -- Remote Procedure Calls for Improved Data Locality with the Epiphany Architecture -- Identifying the propagation sources of stealth worms -- Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases -- Evolutionary ensemble approach for behavioral credit scoring -- Detecting influential users in customer-oriented online communities -- GeoSkelSL: A Python High-Level DSL for Parallel Computing in Geosciences -- Precedent-based approach for the identification of deviant behavior in social media -- Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. Tipo de medio : Computadora Summary : The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, andComputation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2018 : 18th International Conference, Wuxi, China, June 11–13, 2018 Proceedings, Part III / [documento electrónico] / Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., . - 1 ed. . - [s.l.] : Springer, 2018 . - XX, 866 p. 331 ilustraciones.
ISBN : 978-3-319-93713-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación IngenierÃa Informática Red de computadoras Inteligencia artificial Protección de datos Ciencias sociales diseño lógico TeorÃa de la Computación IngenierÃa Informática y Redes Seguridad de datos e información Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 y 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artÃculos completos y 66 artÃculos cortos presentados en este conjunto de libros se revisaron cuidadosamente y se seleccionaron de 404 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Tema principal de ICCS Parte II: Tema de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Tema de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Tema de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; Tema de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Tema de desafÃos biomédicos y bioinformáticos para la ciencia de la computación; Tema de finanzas computacionales e inteligencia empresarial; Tema de optimización computacional, modelado y simulación; Pista de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Pista de Métodos Matemáticos y Algoritmos para Escala Extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Pista de Solución de Problemas con Incertidumbres; Pista de Enseñanza de Ciencias Computacionales; ArtÃculos en Pósteres. Nota de contenido: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Simulations of Flow and Transport: Modeling, Algorithms and Computation -- ALE Method for a Rotating Structure Immersed in the Fluid and Its Application to the Artificial Heart Pump in Hemodynamics -- Free Surface Flow Simulation of Fish Turning Motion -- Circular Function-Based Gas-kinetic Scheme for Simulation of Viscous Compressible Flows -- A new edge stabilization method for the convection-dominated diffusion-convection equations -- Symmetric Sweeping Algorithms for Intersections of Two Quadrilateral Mesh -- A Two-field Finite Element Solver for Poroelasticity on Quadrilateral Meshes -- Preprocessing parallelization for the ALT-algorithm -- Efficient Linearly and Unconditionally Energy Stable Schemes for the Phase Field Model of Solid-State Dewetting Problems -- A novel energy stable numerical scheme for Navier-Stokes-Cahn-Hilliard two-phase flow model with variable densities and viscosities -- Study on Numerical Methods for Gas Flow Simulation Using Double-Porosity Double-Permeability Model -- Molecular Simulation of Displacement of Methane by Injection Gases in Shale -- A Compact and Efficient Lattice Boltzmann Scheme to Simulate Complex Thermal Fluid Flows -- Study on topology-based identification of sources of vulnerability for natural gas pipeline networks -- LES study on high Reynolds turbulent drag-reducing flow of viscoelastic fluids based on multiple relaxation times constitutive model and mixed subgrid-scale model -- Track of Solving Problems with Uncertainties Statistical and Multivatiate Analysis Applied to a Database of Patients with Type-2 Diabetes -- Novel Monte Carlo Algorithm for Solving Singular Linear Systems -- Reducing Data Uncertainty in Forest Fire Spread Prediction: a Matter of Error Function Assessment -- Analysis of the accuracy of OpenFOAM solvers for the problem of supersonic flow around a cone -- Modification Of Interval Arithmetic For Modelling And Solving UncertainlyDefined Problems By Interval Parametric Integral Equations System -- A Hybrid Heuristic for the Probabilistic Capacitated Vehicle Routing Problem with Two-Dimensional Loading Constraints -- A human-inspired model to represent uncertain knowledge in the Semantic Web -- Bayesian based approach learning for outcome prediction of soccer matches -- Fuzzy and Data-Driven Urban Crowds -- Track of Teaching Computational Science Design and Analysis of an Undergraduate Computational Engineering Degree at Federal University of Juiz de Fora -- Extended Cognition Hypothesis View on Computational Thinking in Computer Science Education -- Interconnected Enterprise Systems - A Call for New Teaching Approaches -- Poster Papers -- Efficient Characterization of Hidden Processor Memory Hierarchies -- Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter -- Mathematical Modelling of Wormhole-routed x-Folded TM Topology in the Presence of Uniform Traffic -- Adaptive Time-Splitting Scheme for Nanoparticles Transport with Two-phase Flow in Heterogeneous Porous Media -- Identifying Central Individuals in Organised Criminal Groups and Underground Marketplaces -- Guiding the optimization of parallel codes on multicores using an analytical cache model -- LDA-Based Scoring of Sequences Generated by RNN for Automatic Tanka Composition -- Computing Simulation of Interactions between α + β ProteinandJanusNanoparticle -- A modified bandwidth reduction heuristic based on the WBRA and George-Liu algorithm -- Improving Large-scale Fingerprint-based Queries in Distributed Infrastructure -- A Effective Truth Discovery Algorithm with Multi-Source Sparse Data -- Blackboard Meets Dijkstra for Resource Allocation Optimization -- Augmented Self-paced Learning with Generative Adversarial Networks -- Benchmarking Parallel Chess Search in Stockfish on Intel Xeon and Intel Xeon Phi Processors -- Leveraging Uncertainty Analysis of Data to Evaluate User Influence Algorithms of Social Networks -- E-Zone: A faster Neighbor Point Query Algorithm For Matching Spacial Objects -- Application of Algorithmic Differentiation for Exact Jacobians to the Universal Laminar Flame Solver -- Morph Resolution Based on Autoencoders Combined with Effective Context Information -- Old Habits Die Hard: Fingerprinting Websites On The Cloud -- Deep Streaming Graph Representations -- Adversarial Reinforcement Learning for Chinese Text Summarization -- Column Concept Determination for Chinese Web Tables via Convolutional Neural Network -- Service-oriented approach for Internet of Things -- Adversarial Framework for General Image Inpainting -- A Stochastic Model to Simulate the Spread of Leprosy in Juiz de For a -- Data Fault Identification and Repair Method of Traffic Detector -- The valuation of CCIRS with a new design -- Method of Node Importance Measurement in Urban Road Network -- AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting -- Analysis ofBluetooth Low Energy Detection Range Improvements for the Healthcare Environment -- Study on an N-parallel FENE-P constitutive model based on multiple relaxation times for viscoelastic fluid -- RADIC based Fault Tolerance System with Dynamic Resource Controller -- Effective Learning with Joint Discriminative and Representative Feature Selection -- Agile tuning method in successive steps for a river flow simulator -- A Parallel Quicksort Algorithm on Manycore Processors in Sunway TaihuLight -- How is the Forged Certificates in the Wild: Practice on Large-scale SSL Usage Measurement and Analysis -- Managing Cloud Data Centers with Three-state Server Model under Job Abandonment Phenomenon -- The Analysis of the Effectiveness of the Perspective-based Observational Tunnels Method by the Example of the Evaluation of Possibilities to Divide the Multidimensional Space of Coal Samples -- Urban data and spatial segregation: analysis of food services clusters in St. Petersburg, Russia -- Control driven lighting design for large-scale installations -- An OpenMP implementation of the TVD-Hopmoc method based on a synchronization mechanism using locks between adjacent threads on Xeon Phi accelerators -- Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds -- Large margin proximal non-parallel support vector classifiers -- The multi-core optimization of the unbalanced calculation in the clean numerical simulation of Rayleigh-Benard turbulence -- ES-GP: An Effective Evolutionary Regression Framework with Gaussian Process and Adaptive Segmentation Strategy -- Evaluating Dynamic Scheduling of Tasks in Mobile Architectures using ParallelME Framework -- An OAuth2.0-Based Unified Authentication System for Secure Services in the Smart Campus Environment -- Time Series Cluster analysis on electricity consumption of North Hebei Province in China -- Effective Semi-supervised Learning Based on Local Correlation -- Detection and Prediction of House Price Bubbles: Evidence from a New City -- A NovelParsing-based Automatic Domain Terminology Extraction Method -- Remote Procedure Calls for Improved Data Locality with the Epiphany Architecture -- Identifying the propagation sources of stealth worms -- Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases -- Evolutionary ensemble approach for behavioral credit scoring -- Detecting influential users in customer-oriented online communities -- GeoSkelSL: A Python High-Level DSL for Parallel Computing in Geosciences -- Precedent-based approach for the identification of deviant behavior in social media -- Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. Tipo de medio : Computadora Summary : The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, andComputation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Parallel Processing and Applied Mathematics : 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part I Tipo de documento: documento electrónico Autores: Wyrzykowski, Roman, ; Dongarra, Jack, ; Deelman, Ewa, ; Karczewski, Konrad, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXV, 660 p. 261 ilustraciones ISBN/ISSN/DL: 978-3-319-78024-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa de software IngenierÃa Informática Red de computadoras diseño lógico Informática Inteligencia artificial Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 005.1 Resumen: El conjunto de dos volúmenes LNCS 10777 y 10778 constituye artÃculos seleccionados revisados ​​de la 12.ª Conferencia Internacional sobre Procesamiento Paralelo y Matemáticas Aplicadas, PPAM 2017, celebrada en Lublin, Polonia, en septiembre de 2017. Los 49 artÃculos regulares presentados en este volumen fueron seleccionados entre 98 presentaciones. Para los talleres y sesiones especiales, que se llevaron a cabo como parte integral de la conferencia PPAM 2017, se aceptó un total de 51 artÃculos de 75 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas de la siguiente manera: Parte I: algoritmos numéricos y computación cientÃfica paralela; métodos de partÃculas en simulaciones; paradigma de computación paralela basado en tareas; Computación GPU; algoritmos paralelos no numéricos; evaluación del desempeño de algoritmos y aplicaciones paralelos; entornos y marcos para computación paralela/distribuida/en la nube; aplicaciones de computación paralela; informática suave con aplicaciones; y sesión especial sobre factorizaciones de matrices paralelas. Parte II: taller sobre modelos, algoritmos y metodologÃas para el paralelismo hÃbrido en nuevos sistemas HPC; aspectos energéticos y de potencia del taller de los cálculos (PEAC 2017); taller sobre programación para computación paralela (SPC 2017); taller sobre modelos de programación paralela basados ​​en lenguajes (WLPP 2017); taller sobre programación de PGAS; minisimposio sobre aplicaciones de HPC en ciencias fÃsicas; minisimposio sobre métodos de intervalos de computación de alto rendimiento; Taller sobre sistemas colectivos complejos. . Nota de contenido: Numerical Algorithms and Parallel Scientific Computing -- Advances in Incremental PCA Algorithms -- Algorithms for forward and backward solution of the Fokker-Planck equation in the heliospheric transport of cosmic rays -- Efficient Evaluation of Matrix Polynomials -- A Comparison of Soft-Fault Error Models in the Parallel Preconditioned Flexible GMRES -- Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs -- Comparison of parallel time-periodic Navier–Stokes solvers -- Blocked Algorithms for Robust Solution of Triangular Linear Systems -- A Comparison of Accuracy and Efficiency of Parallel Solvers for Fractional Power Diffusion Problems -- Efficient Cross Section Reconstruction on Modern Multi and Many Core Architectures -- Parallel assembly of ACA BEM matrices on Xeon Phi clusters -- Stochastic bounds for Markov chains on Intel Xeon Phi coprocessor -- Particle Methods in Simulations -- Fast DEM collision checks on multicorenodes -- A Space and Bandwidth Efficient Multicore Algorithm for the Particle-in-Cell Method -- Load Balancing for Particle-in-Cell Plasma Simulation on Multicore Systems -- Task-Based Paradigm of Parallel Computing -- TaskUniVerse: A Task-Based Unified Interface for Versatile Parallel Execution -- Comparison of Time and Energy Oriented Scheduling for Task-based Programs -- Experiments with sparse Cholesky using a parametrized task graph Implementation -- A Task-Based Algorithm for Reordering the Eigenvalues of a Matrix in Real Schur Form -- GPU Computing -- Radix Tree for Binary Sequences on GPU -- A comparison of performance tuning process for different generations of NVIDIA GPUs and an example scientific computing algorithm -- NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch -- Two-Echelon System Stochastic Optimization with R and CUDA -- Parallel Hierarchical Agglomerative Clustering for fMRI Data -- Parallel Non-numerical Algorithms -- Two Parallelization Schemes for the Induction of Nondeterministic Finite Automata on PCs -- Approximating Personalized Katz Centrality in Dynamic Graphs -- Graph-Based Speculative Query Execution for RDBMS -- A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation -- Performance Evaluation of Parallel Algorithms and Applications -- Early performance evaluation of the hybrid cluster with torus interconnect aimed at molecular-dynamics simulations -- Load balancing for CPU-GPU coupling in Computational Fluid Dynamics -- Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer -- An Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods -- Prediction of the Inter-Node Communication Costs of a New Gyrokinetic Code with Toroidal Domain -- D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation -- Environments and Frameworks for Parallel/Distributed/Cloud Computing -- Dfuntest: A Testing Framework for Distributed Applications -- Security monitoring and analytics in the context of HPC processing model -- Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data -- Bridging the Gap between HPC and Cloud using HyperFlow and PaaSage -- A Memory Efficient Parallel All-Pairs Computation Framework: Computation – Communication Overlap -- Automatic Parallelization of ANSI C to CUDA C Programs.-Consistency Models for Global Scalable Data Access Services -- Applications of Parallel Computing -- Global state monitoring in optimization of parallel event–driven simulation -- High Performance Optimization of Independent Component Analysis Algorithm for EEG Data -- Continuous and discrete models of melanoma progression simulated in multi-GPU environment -- Early experience on using Knights Landing processors for Lattice Boltzmann applications -- Soft Computing with Applications.-Towards a Model of Semi-Supervised Learning for the Syntactic Pattern Recognition-based Electrical Load Prediction System -- Parallel Processing of Color Digital Images for Linguistic Description of Their Content -- Co-evolution of fitness predictors and Deep Neural Networks -- Performance evaluation of DBN learning on Intel multi- and manycore architectures -- Special Session on Parallel Matrix Factorizations -- On the Tunability of a New Hessenberg Reduction Algorithm Using Parallel Cache Assignment -- New Preconditioning for the One–Sided Block–Jacobi SVD Algorithm -- Structure-preserving technique in the block SS–Hankel method for solving Hermitian generalized eigenvalue problems -- On using the Cholesky QR method in the full-blocked one-sided Jacobi algorithm -- Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems -- Partial Inverses of Complex Block Tridiagonal Matrices -- Parallel Nonnegative Matrix Factorization Based on Newton Iteration with Improved Convergence Behavior. Tipo de medio : Computadora Summary : The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in this volume were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Parallel Processing and Applied Mathematics : 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part I [documento electrónico] / Wyrzykowski, Roman, ; Dongarra, Jack, ; Deelman, Ewa, ; Karczewski, Konrad, . - 1 ed. . - [s.l.] : Springer, 2018 . - XXV, 660 p. 261 ilustraciones.
ISBN : 978-3-319-78024-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa de software IngenierÃa Informática Red de computadoras diseño lógico Informática Inteligencia artificial Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 005.1 Resumen: El conjunto de dos volúmenes LNCS 10777 y 10778 constituye artÃculos seleccionados revisados ​​de la 12.ª Conferencia Internacional sobre Procesamiento Paralelo y Matemáticas Aplicadas, PPAM 2017, celebrada en Lublin, Polonia, en septiembre de 2017. Los 49 artÃculos regulares presentados en este volumen fueron seleccionados entre 98 presentaciones. Para los talleres y sesiones especiales, que se llevaron a cabo como parte integral de la conferencia PPAM 2017, se aceptó un total de 51 artÃculos de 75 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas de la siguiente manera: Parte I: algoritmos numéricos y computación cientÃfica paralela; métodos de partÃculas en simulaciones; paradigma de computación paralela basado en tareas; Computación GPU; algoritmos paralelos no numéricos; evaluación del desempeño de algoritmos y aplicaciones paralelos; entornos y marcos para computación paralela/distribuida/en la nube; aplicaciones de computación paralela; informática suave con aplicaciones; y sesión especial sobre factorizaciones de matrices paralelas. Parte II: taller sobre modelos, algoritmos y metodologÃas para el paralelismo hÃbrido en nuevos sistemas HPC; aspectos energéticos y de potencia del taller de los cálculos (PEAC 2017); taller sobre programación para computación paralela (SPC 2017); taller sobre modelos de programación paralela basados ​​en lenguajes (WLPP 2017); taller sobre programación de PGAS; minisimposio sobre aplicaciones de HPC en ciencias fÃsicas; minisimposio sobre métodos de intervalos de computación de alto rendimiento; Taller sobre sistemas colectivos complejos. . Nota de contenido: Numerical Algorithms and Parallel Scientific Computing -- Advances in Incremental PCA Algorithms -- Algorithms for forward and backward solution of the Fokker-Planck equation in the heliospheric transport of cosmic rays -- Efficient Evaluation of Matrix Polynomials -- A Comparison of Soft-Fault Error Models in the Parallel Preconditioned Flexible GMRES -- Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs -- Comparison of parallel time-periodic Navier–Stokes solvers -- Blocked Algorithms for Robust Solution of Triangular Linear Systems -- A Comparison of Accuracy and Efficiency of Parallel Solvers for Fractional Power Diffusion Problems -- Efficient Cross Section Reconstruction on Modern Multi and Many Core Architectures -- Parallel assembly of ACA BEM matrices on Xeon Phi clusters -- Stochastic bounds for Markov chains on Intel Xeon Phi coprocessor -- Particle Methods in Simulations -- Fast DEM collision checks on multicorenodes -- A Space and Bandwidth Efficient Multicore Algorithm for the Particle-in-Cell Method -- Load Balancing for Particle-in-Cell Plasma Simulation on Multicore Systems -- Task-Based Paradigm of Parallel Computing -- TaskUniVerse: A Task-Based Unified Interface for Versatile Parallel Execution -- Comparison of Time and Energy Oriented Scheduling for Task-based Programs -- Experiments with sparse Cholesky using a parametrized task graph Implementation -- A Task-Based Algorithm for Reordering the Eigenvalues of a Matrix in Real Schur Form -- GPU Computing -- Radix Tree for Binary Sequences on GPU -- A comparison of performance tuning process for different generations of NVIDIA GPUs and an example scientific computing algorithm -- NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch -- Two-Echelon System Stochastic Optimization with R and CUDA -- Parallel Hierarchical Agglomerative Clustering for fMRI Data -- Parallel Non-numerical Algorithms -- Two Parallelization Schemes for the Induction of Nondeterministic Finite Automata on PCs -- Approximating Personalized Katz Centrality in Dynamic Graphs -- Graph-Based Speculative Query Execution for RDBMS -- A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation -- Performance Evaluation of Parallel Algorithms and Applications -- Early performance evaluation of the hybrid cluster with torus interconnect aimed at molecular-dynamics simulations -- Load balancing for CPU-GPU coupling in Computational Fluid Dynamics -- Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer -- An Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods -- Prediction of the Inter-Node Communication Costs of a New Gyrokinetic Code with Toroidal Domain -- D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation -- Environments and Frameworks for Parallel/Distributed/Cloud Computing -- Dfuntest: A Testing Framework for Distributed Applications -- Security monitoring and analytics in the context of HPC processing model -- Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data -- Bridging the Gap between HPC and Cloud using HyperFlow and PaaSage -- A Memory Efficient Parallel All-Pairs Computation Framework: Computation – Communication Overlap -- Automatic Parallelization of ANSI C to CUDA C Programs.-Consistency Models for Global Scalable Data Access Services -- Applications of Parallel Computing -- Global state monitoring in optimization of parallel event–driven simulation -- High Performance Optimization of Independent Component Analysis Algorithm for EEG Data -- Continuous and discrete models of melanoma progression simulated in multi-GPU environment -- Early experience on using Knights Landing processors for Lattice Boltzmann applications -- Soft Computing with Applications.-Towards a Model of Semi-Supervised Learning for the Syntactic Pattern Recognition-based Electrical Load Prediction System -- Parallel Processing of Color Digital Images for Linguistic Description of Their Content -- Co-evolution of fitness predictors and Deep Neural Networks -- Performance evaluation of DBN learning on Intel multi- and manycore architectures -- Special Session on Parallel Matrix Factorizations -- On the Tunability of a New Hessenberg Reduction Algorithm Using Parallel Cache Assignment -- New Preconditioning for the One–Sided Block–Jacobi SVD Algorithm -- Structure-preserving technique in the block SS–Hankel method for solving Hermitian generalized eigenvalue problems -- On using the Cholesky QR method in the full-blocked one-sided Jacobi algorithm -- Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems -- Partial Inverses of Complex Block Tridiagonal Matrices -- Parallel Nonnegative Matrix Factorization Based on Newton Iteration with Improved Convergence Behavior. Tipo de medio : Computadora Summary : The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in this volume were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Parallel Processing and Applied Mathematics : 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II Tipo de documento: documento electrónico Autores: Wyrzykowski, Roman, ; Dongarra, Jack, ; Deelman, Ewa, ; Karczewski, Konrad, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXVI, 488 p. 129 ilustraciones ISBN/ISSN/DL: 978-3-319-78054-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa de software IngenierÃa Informática Red de computadoras Programación de computadoras diseño lógico Inteligencia artificial Ciencias de la Computación IngenierÃa Informática y Redes Técnicas de programación TeorÃa de la Computación Clasificación: 005.1 Resumen: El conjunto de dos volúmenes LNCS 10777 y 10778 constituye artÃculos seleccionados revisados ​​de la 12.ª Conferencia Internacional sobre Procesamiento Paralelo y Matemáticas Aplicadas, PPAM 2017, celebrada en Lublin, Polonia, en septiembre de 2017. Los 49 artÃculos regulares presentados en las actas fueron seleccionados entre 98 presentaciones. Para los talleres y sesiones especiales, que se llevaron a cabo como parte integral de la conferencia PPAM 2017, se aceptó un total de 51 artÃculos de 75 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas de la siguiente manera: Parte I: algoritmos numéricos y computación cientÃfica paralela; métodos de partÃculas en simulaciones; paradigma de computación paralela basado en tareas; Computación GPU; algoritmos paralelos no numéricos; evaluación del desempeño de algoritmos y aplicaciones paralelos; entornos y marcos para computación paralela/distribuida/en la nube; aplicaciones de computación paralela; informática suave con aplicaciones; y sesión especial sobre factorizaciones de matrices paralelas. Parte II: taller sobre modelos, algoritmos y metodologÃas para el paralelismo hÃbrido en nuevos sistemas HPC; aspectos energéticos y de potencia del taller de los cálculos (PEAC 2017); taller sobre programación para computación paralela (SPC 2017); taller sobre modelos de programación paralela basados ​​en lenguajes (WLPP 2017); taller sobre programación de PGAS; minisimposio sobre aplicaciones de HPC en ciencias fÃsicas; minisimposio sobre métodos de intervalos de computación de alto rendimiento; Taller sobre sistemas colectivos complejos. Nota de contenido: Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems -- An experience report on (auto-)tuning of mesh-based PDE solvers on shared memory systems -- Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources -- Relaxing the correctness conditions on concurrent data structures for multicore CPUs. A numerical case study -- Energy analysis of a 4D Variational Data Assimilation algorithm and evaluation on ARM-based HPC systems -- Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS -- Evaluation of HCM: a New Model to Predict the Execution Time of Regular Parallel Applications on a Heterogeneous Cluster -- Workshop on Power and Energy Aspects of Computations (PEAC 2017) -- Applicability of the Empirical Mode Decomposition for Power Traces of Large-Scale Applications -- Efficiency analysis of Intel, AMD and Nvidia 64-bit hardware for memory-bound problems: a case study of ab initio calculations with VASP 75 -- GPU Power Modeling of HPC Applications for the Simulation of Heterogeneous Clouds -- Bi-cluster Parallel Computing in Bioinformatics – Performance and Eco-efficiency -- Performance and energy analysis of scientific workloads executing on LPSoCs -- Energy efficient dynamic load balancing over multiGPU heterogeneous systems -- Workshop on Scheduling for Parallel Computing (SPC 2017) -- Scheduling Data Gathering with Maximum Lateness Objective -- Fair Scheduling in Grid VOs with Anticipation Heuristic -- A Security-Driven Approach to Online Job Scheduling in IaaS Cloud Computing Systems -- Dynamic Load Balancing Algorithm for Heterogeneous Clusters -- Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs -- Workshop on Language-Based Parallel Programming Models (WLPP 2017) -- Pardis: A Process Calculus for Parallel and Distributed Programming in Haskell -- Towards High-Performance Python.-Actor Model of a New Functional Language – Anemone -- Almost Optimal Column-wise Prefix-sum Computation on the GPU -- A Combination of Intra- and Inter-Place Work Stealing for the APGAS Library -- Benchmarking Molecular Dynamics with OpenCL on Many-Core Architectures -- Efficient Language-Based Parallelization of Computational Problems Using Cilk Plus -- A Taxonomy of Task-Based Technologies for High-Performance Computing -- Workshop on PGAS Programming -- Interoperability of GASPI and MPI in Large Scale Scientific Applications -- Evaluation of the parallel performance of the Java and PCJ on the Intel KNL based systems -- Fault-tolerance mechanisms for the Java parallel codes implemented with the PCJ library -- Exploring graph analytics with the PCJ toolbox -- Big Data analytics in Java with PCJ library: performance comparison with Hadoop -- Performance comparison of graph BFS implemented in MapReduce and PGAS programming models.-Minisymposium on HPC Applications in Physical Sciences -- Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale AbInitio Nuclear Structure Calculations -- Parallel Exact Diagonalization Approach to Large Molecular Nanomagnets Modelling -- Application of Numerical Quantum Transfer-matrix Approach in the Randomly Diluted Quantum Spin Chains -- Minisymposium on High Performance Computing Interval Methods -- A new method for solving nonlinear interval and fuzzy equations -- Role of hull-consistency in the HIBA USNE multithreaded solver for nonlinear systems -- Parallel computing of linear systems with linearly dependent intervals in MATLAB -- What Decision to Make In a Conflict Situation under Interval Uncertainty: Efficient Algorithms for the Hurwicz Approach -- Practical Need for Algebraic (Equality-Type) Solutions of Interval Equations and for Extended-Zero Solutions -- Workshop on Complex Collective Systems -- Application of Local Search with Perturbation Inspired by Cellular Automata for Heuristic Optimization of Sensor Network Coverage Problem -- A Fuzzy Logic Inspired Cellular Automata Based Model for Simulating Crowd Evacuation Processes -- Nondeterministic Cellular Automaton for Modelling Urban Traffic with Self-organizing Control -- Towards Multi-Agent simulations accelerated by GPU -- Tournament-Based Convection Selection in Evolutionary Algorithms -- Multi-agent systems programmed visually with Google Blockly. Tipo de medio : Computadora Summary : The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in the proceedings were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Parallel Processing and Applied Mathematics : 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II [documento electrónico] / Wyrzykowski, Roman, ; Dongarra, Jack, ; Deelman, Ewa, ; Karczewski, Konrad, . - 1 ed. . - [s.l.] : Springer, 2018 . - XXVI, 488 p. 129 ilustraciones.
ISBN : 978-3-319-78054-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa de software IngenierÃa Informática Red de computadoras Programación de computadoras diseño lógico Inteligencia artificial Ciencias de la Computación IngenierÃa Informática y Redes Técnicas de programación TeorÃa de la Computación Clasificación: 005.1 Resumen: El conjunto de dos volúmenes LNCS 10777 y 10778 constituye artÃculos seleccionados revisados ​​de la 12.ª Conferencia Internacional sobre Procesamiento Paralelo y Matemáticas Aplicadas, PPAM 2017, celebrada en Lublin, Polonia, en septiembre de 2017. Los 49 artÃculos regulares presentados en las actas fueron seleccionados entre 98 presentaciones. Para los talleres y sesiones especiales, que se llevaron a cabo como parte integral de la conferencia PPAM 2017, se aceptó un total de 51 artÃculos de 75 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas de la siguiente manera: Parte I: algoritmos numéricos y computación cientÃfica paralela; métodos de partÃculas en simulaciones; paradigma de computación paralela basado en tareas; Computación GPU; algoritmos paralelos no numéricos; evaluación del desempeño de algoritmos y aplicaciones paralelos; entornos y marcos para computación paralela/distribuida/en la nube; aplicaciones de computación paralela; informática suave con aplicaciones; y sesión especial sobre factorizaciones de matrices paralelas. Parte II: taller sobre modelos, algoritmos y metodologÃas para el paralelismo hÃbrido en nuevos sistemas HPC; aspectos energéticos y de potencia del taller de los cálculos (PEAC 2017); taller sobre programación para computación paralela (SPC 2017); taller sobre modelos de programación paralela basados ​​en lenguajes (WLPP 2017); taller sobre programación de PGAS; minisimposio sobre aplicaciones de HPC en ciencias fÃsicas; minisimposio sobre métodos de intervalos de computación de alto rendimiento; Taller sobre sistemas colectivos complejos. Nota de contenido: Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems -- An experience report on (auto-)tuning of mesh-based PDE solvers on shared memory systems -- Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources -- Relaxing the correctness conditions on concurrent data structures for multicore CPUs. A numerical case study -- Energy analysis of a 4D Variational Data Assimilation algorithm and evaluation on ARM-based HPC systems -- Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS -- Evaluation of HCM: a New Model to Predict the Execution Time of Regular Parallel Applications on a Heterogeneous Cluster -- Workshop on Power and Energy Aspects of Computations (PEAC 2017) -- Applicability of the Empirical Mode Decomposition for Power Traces of Large-Scale Applications -- Efficiency analysis of Intel, AMD and Nvidia 64-bit hardware for memory-bound problems: a case study of ab initio calculations with VASP 75 -- GPU Power Modeling of HPC Applications for the Simulation of Heterogeneous Clouds -- Bi-cluster Parallel Computing in Bioinformatics – Performance and Eco-efficiency -- Performance and energy analysis of scientific workloads executing on LPSoCs -- Energy efficient dynamic load balancing over multiGPU heterogeneous systems -- Workshop on Scheduling for Parallel Computing (SPC 2017) -- Scheduling Data Gathering with Maximum Lateness Objective -- Fair Scheduling in Grid VOs with Anticipation Heuristic -- A Security-Driven Approach to Online Job Scheduling in IaaS Cloud Computing Systems -- Dynamic Load Balancing Algorithm for Heterogeneous Clusters -- Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs -- Workshop on Language-Based Parallel Programming Models (WLPP 2017) -- Pardis: A Process Calculus for Parallel and Distributed Programming in Haskell -- Towards High-Performance Python.-Actor Model of a New Functional Language – Anemone -- Almost Optimal Column-wise Prefix-sum Computation on the GPU -- A Combination of Intra- and Inter-Place Work Stealing for the APGAS Library -- Benchmarking Molecular Dynamics with OpenCL on Many-Core Architectures -- Efficient Language-Based Parallelization of Computational Problems Using Cilk Plus -- A Taxonomy of Task-Based Technologies for High-Performance Computing -- Workshop on PGAS Programming -- Interoperability of GASPI and MPI in Large Scale Scientific Applications -- Evaluation of the parallel performance of the Java and PCJ on the Intel KNL based systems -- Fault-tolerance mechanisms for the Java parallel codes implemented with the PCJ library -- Exploring graph analytics with the PCJ toolbox -- Big Data analytics in Java with PCJ library: performance comparison with Hadoop -- Performance comparison of graph BFS implemented in MapReduce and PGAS programming models.-Minisymposium on HPC Applications in Physical Sciences -- Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale AbInitio Nuclear Structure Calculations -- Parallel Exact Diagonalization Approach to Large Molecular Nanomagnets Modelling -- Application of Numerical Quantum Transfer-matrix Approach in the Randomly Diluted Quantum Spin Chains -- Minisymposium on High Performance Computing Interval Methods -- A new method for solving nonlinear interval and fuzzy equations -- Role of hull-consistency in the HIBA USNE multithreaded solver for nonlinear systems -- Parallel computing of linear systems with linearly dependent intervals in MATLAB -- What Decision to Make In a Conflict Situation under Interval Uncertainty: Efficient Algorithms for the Hurwicz Approach -- Practical Need for Algebraic (Equality-Type) Solutions of Interval Equations and for Extended-Zero Solutions -- Workshop on Complex Collective Systems -- Application of Local Search with Perturbation Inspired by Cellular Automata for Heuristic Optimization of Sensor Network Coverage Problem -- A Fuzzy Logic Inspired Cellular Automata Based Model for Simulating Crowd Evacuation Processes -- Nondeterministic Cellular Automaton for Modelling Urban Traffic with Self-organizing Control -- Towards Multi-Agent simulations accelerated by GPU -- Tournament-Based Convection Selection in Evolutionary Algorithms -- Multi-agent systems programmed visually with Google Blockly. Tipo de medio : Computadora Summary : The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in the proceedings were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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