| 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. |
| 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 |
| 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 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. |
| 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 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.
| 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 |
| 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 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. |
| 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 |
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Parallel Processing and Applied Mathematics
