| 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. |
| Palabras clave: |
IngenierÃa de software IngenierÃa Informática Red de computadoras diseño lógico Informática Inteligencia artificial Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación |
| Ãndice Dewey: |
005.1 Programación (Computadoras) |
| 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. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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.
| Palabras clave: |
IngenierÃa de software IngenierÃa Informática Red de computadoras diseño lógico Informática Inteligencia artificial Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación |
| Ãndice Dewey: |
005.1 Programación (Computadoras) |
| 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. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
Parallel Processing and Applied Mathematics
