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Autor Deelman, Ewa |
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Crear una solicitud de compra Refinar búsquedaParallel Processing and Applied Mathematics / Wyrzykowski, Roman ; Dongarra, Jack ; Deelman, Ewa ; Karczewski, Konrad
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 [...]
TÃtulo : Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I / Tipo de documento: documento electrónico Autores: Wyrzykowski, Roman, ; Deelman, Ewa, ; Dongarra, Jack, ; Karczewski, Konrad, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXIII, 581 p. 313 ilustraciones, 158 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-43229-4 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: diseño lógico IngenierÃa de software Técnicas de programación Matemáticas de la Computación Entrada/Salida y Comunicaciones de Datos IngenierÃa Informática y Redes Informática Equipos de entrada y salida de computadora Red informática IngenierÃa Informática Programación informática Matemáticas Clasificación: 005.1 Resumen: Los capÃtulos "Aproximación cruzada adaptativa paralela para la formulación de trazas múltiples de problemas de dispersión" y "Un solucionador Galerkin discontinuo de alto orden con refinamiento dinámico de malla adaptativa para simular procesos de formación de nubes" están disponibles en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de un enlace .springer.com. Nota de contenido: Numerical Algorithms and Parallel Scientific Computing -- Emerging HPC Architectures -- Performance Analysis and Scheduling in HPC Systems -- Environments and Frameworks for Parallel/Distributed/Cloud Computing -- Applications of Parallel Computing -- Parallel Non-numerical Algorithms -- Soft Computing with Applications -- Special Session on GPU Computing -- Special Session on Parallel Matrix Factorizations. Tipo de medio : Computadora Summary : Chapters "Parallel Adaptive Cross Approximation for the Multi-trace Formulation of Scattering Problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I / [documento electrónico] / Wyrzykowski, Roman, ; Deelman, Ewa, ; Dongarra, Jack, ; Karczewski, Konrad, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXIII, 581 p. 313 ilustraciones, 158 ilustraciones en color.
ISBN : 978-3-030-43229-4
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: diseño lógico IngenierÃa de software Técnicas de programación Matemáticas de la Computación Entrada/Salida y Comunicaciones de Datos IngenierÃa Informática y Redes Informática Equipos de entrada y salida de computadora Red informática IngenierÃa Informática Programación informática Matemáticas Clasificación: 005.1 Resumen: Los capÃtulos "Aproximación cruzada adaptativa paralela para la formulación de trazas múltiples de problemas de dispersión" y "Un solucionador Galerkin discontinuo de alto orden con refinamiento dinámico de malla adaptativa para simular procesos de formación de nubes" están disponibles en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de un enlace .springer.com. Nota de contenido: Numerical Algorithms and Parallel Scientific Computing -- Emerging HPC Architectures -- Performance Analysis and Scheduling in HPC Systems -- Environments and Frameworks for Parallel/Distributed/Cloud Computing -- Applications of Parallel Computing -- Parallel Non-numerical Algorithms -- Soft Computing with Applications -- Special Session on GPU Computing -- Special Session on Parallel Matrix Factorizations. Tipo de medio : Computadora Summary : Chapters "Parallel Adaptive Cross Approximation for the Multi-trace Formulation of Scattering Problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II / Tipo de documento: documento electrónico Autores: Wyrzykowski, Roman, ; Deelman, Ewa, ; Dongarra, Jack, ; Karczewski, Konrad, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXIII, 503 p. 164 ilustraciones, 90 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-43222-5 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 Informática IngenierÃa de software Sistema de administración de base de datos Operating systems Matemáticas de la Computación IngenierÃa Informática y Redes Gestión de base de datos Sistemas operativos (computadoras) Matemáticas Red informática Informática Clasificación: 005.1 Resumen: El conjunto de dos volúmenes LNCS 12043 y 12044 constituye artÃculos seleccionados revisados ​​de la 13.ª Conferencia Internacional sobre Procesamiento Paralelo y Matemáticas Aplicadas, PPAM 2019, celebrada en Bialystok, Polonia, en septiembre de 2019. Los 91 artÃculos regulares presentados en estos volúmenes fueron seleccionados de 161 presentaciones. Para las sesiones regulares de la conferencia, se seleccionaron 41 artÃculos de 89 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas de la siguiente manera: Parte I: algoritmos numéricos y computación cientÃfica paralela; arquitecturas HPC emergentes; análisis y programación del desempeño en sistemas HPC; entornos y marcos para computación paralela/distribuida/en la nube; aplicaciones de computación paralela; algoritmos paralelos no numéricos; informática suave con aplicaciones; sesión especial sobre informática GPU; Sesión especial sobre factorizaciones de matrices paralelas. Parte II: taller sobre modelos de programación paralela basados ​​en lenguajes (WLPP 2019); taller sobre modelos, algoritmos y metodologÃas para el paralelismo hÃbrido en nuevos sistemas HPC; taller sobre aspectos energéticos y de potencia de los cálculos (PEAC 2019); sesión especial sobre herramientas para la informática energéticamente eficiente; taller sobre programación para computación paralela (SPC 2019); taller sobre algoritmos numéricos aplicados de alto rendimiento para PDE; minisimposio sobre aplicaciones de HPC en ciencias fÃsicas; minisimposio sobre métodos de intervalos de computación de alto rendimiento; Taller sobre sistemas colectivos complejos. Los capÃtulos "Aproximación cruzada adaptativa paralela para la formulación de trazas múltiples de problemas de dispersión" y "Un solucionador Galerkin discontinuo de alto orden con refinamiento dinámico de malla adaptativa para simular procesos de formación de nubes" de LNCS 12043 están disponibles en acceso abierto bajo una Atribución Creative Commons 4.0 Internacional. Licencia a través de link.springer.com. Nota de contenido: Workshop on Language-Based Parallel Programming Models (WLPP 2019) -- Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems -- Workshop on Power and Energy Aspects of Computations (PEAC 2019) -- Special Session on Tools for Energy Efficient Computing -- Workshop on Scheduling for Parallel Computing (SPC 2019) -- Workshop on Applied High Performance Numerical Algorithms for PDEs -- Minisymposium on HPC Applications in Physical Sciences -- Minisymposium on High Performance Computing Interval Methods -- Workshop on Complex Collective Systems. Tipo de medio : Computadora Summary : The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, held in Bialystok, Poland, in September 2019. The 91 regular papers presented in these volumes were selected from 161 submissions. For regular tracks of the conference, 41 papers were selected from 89 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; parallel non-numerical algorithms; soft computing with applications; special session on GPU computing; special session on parallel matrix factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for hybrid parallelism in new HPC systems; workshop on power and energy aspects of computations (PEAC 2019); special session on tools for energy efficient computing; workshop on scheduling for parallel computing (SPC 2019); workshop on applied high performance numerical algorithms for PDEs; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Chapters "Parallel adaptive cross approximation for the multi-trace formulation of scattering problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" of LNCS 12043 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II / [documento electrónico] / Wyrzykowski, Roman, ; Deelman, Ewa, ; Dongarra, Jack, ; Karczewski, Konrad, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXIII, 503 p. 164 ilustraciones, 90 ilustraciones en color.
ISBN : 978-3-030-43222-5
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 Informática IngenierÃa de software Sistema de administración de base de datos Operating systems Matemáticas de la Computación IngenierÃa Informática y Redes Gestión de base de datos Sistemas operativos (computadoras) Matemáticas Red informática Informática Clasificación: 005.1 Resumen: El conjunto de dos volúmenes LNCS 12043 y 12044 constituye artÃculos seleccionados revisados ​​de la 13.ª Conferencia Internacional sobre Procesamiento Paralelo y Matemáticas Aplicadas, PPAM 2019, celebrada en Bialystok, Polonia, en septiembre de 2019. Los 91 artÃculos regulares presentados en estos volúmenes fueron seleccionados de 161 presentaciones. Para las sesiones regulares de la conferencia, se seleccionaron 41 artÃculos de 89 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas de la siguiente manera: Parte I: algoritmos numéricos y computación cientÃfica paralela; arquitecturas HPC emergentes; análisis y programación del desempeño en sistemas HPC; entornos y marcos para computación paralela/distribuida/en la nube; aplicaciones de computación paralela; algoritmos paralelos no numéricos; informática suave con aplicaciones; sesión especial sobre informática GPU; Sesión especial sobre factorizaciones de matrices paralelas. Parte II: taller sobre modelos de programación paralela basados ​​en lenguajes (WLPP 2019); taller sobre modelos, algoritmos y metodologÃas para el paralelismo hÃbrido en nuevos sistemas HPC; taller sobre aspectos energéticos y de potencia de los cálculos (PEAC 2019); sesión especial sobre herramientas para la informática energéticamente eficiente; taller sobre programación para computación paralela (SPC 2019); taller sobre algoritmos numéricos aplicados de alto rendimiento para PDE; minisimposio sobre aplicaciones de HPC en ciencias fÃsicas; minisimposio sobre métodos de intervalos de computación de alto rendimiento; Taller sobre sistemas colectivos complejos. Los capÃtulos "Aproximación cruzada adaptativa paralela para la formulación de trazas múltiples de problemas de dispersión" y "Un solucionador Galerkin discontinuo de alto orden con refinamiento dinámico de malla adaptativa para simular procesos de formación de nubes" de LNCS 12043 están disponibles en acceso abierto bajo una Atribución Creative Commons 4.0 Internacional. Licencia a través de link.springer.com. Nota de contenido: Workshop on Language-Based Parallel Programming Models (WLPP 2019) -- Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems -- Workshop on Power and Energy Aspects of Computations (PEAC 2019) -- Special Session on Tools for Energy Efficient Computing -- Workshop on Scheduling for Parallel Computing (SPC 2019) -- Workshop on Applied High Performance Numerical Algorithms for PDEs -- Minisymposium on HPC Applications in Physical Sciences -- Minisymposium on High Performance Computing Interval Methods -- Workshop on Complex Collective Systems. Tipo de medio : Computadora Summary : The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, held in Bialystok, Poland, in September 2019. The 91 regular papers presented in these volumes were selected from 161 submissions. For regular tracks of the conference, 41 papers were selected from 89 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; parallel non-numerical algorithms; soft computing with applications; special session on GPU computing; special session on parallel matrix factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for hybrid parallelism in new HPC systems; workshop on power and energy aspects of computations (PEAC 2019); special session on tools for energy efficient computing; workshop on scheduling for parallel computing (SPC 2019); workshop on applied high performance numerical algorithms for PDEs; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Chapters "Parallel adaptive cross approximation for the multi-trace formulation of scattering problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" of LNCS 12043 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
