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" High performance computing for computational science : "
VECPAR 2012, Kobe, Japan, July 17-20, 2012 ; Michel Daydé [und weitere], eds.
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BL
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748057
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b568011
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| Main Entry
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VECPAR 2012, Kobe, Japan, July 17-20, 2012 ; Michel Daydé [und weitere], eds.
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| Title & Author
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High performance computing for computational science : : 10th International conference : revised selected papers\ VECPAR 2012, Kobe, Japan, July 17-20, 2012 ; Michel Daydé [und weitere], eds.
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| Publication Statement
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Heidelberg : Springer, 2013
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| Series Statement
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Lecture notes in computer science, 7851
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468 Seiten : Illustrationen
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| ISBN
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3642387179
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: 3642387187
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: 9783642387173
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: 9783642387180
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| Contents
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Programming the LU Factorization for a Multicore System with Accelerators.- Efficient Two-Level Preconditioned Conjugate Gradient Method on the GPU.- Parallelization of the QR Decomposition with Column Pivoting Using Column Cyclic Distribution on Multicore and GPU Processors.- A High Performance SYMV Kernel on a Fermi-core GPU.- Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators.- Numerical Simulation of Long-Term Fate of CO2 Stored in Deep Reservoir Rocks on Massively Parallel Vector Supercomputer.- High Performance Simulation of Complicated Fluid Flow in 3D Fractured Porous Media with Permeable Material Matrix Using LBM.- Parallel Scalability Enhancements of Seismic Response and Evacuation Simulations of Integrated Earthquake Simulator.- QMC=Chem: A Quantum Monte Carlo Program for Large-Scale Simulations in Chemistry at the Petascale Level and beyond.- Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication.- Implementation and Evaluation of 3D Finite Element Method Application for CUDA.- A Service-Oriented Architecture for Scientific Computing on Cloud Infrastructures.- Automatic Generation of the HPC Challenge's Global FFT Benchmark for Blue Gene/P.- High Performance CPU Kernels for Multiphase Compressible Flows.- Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure.- Control Formats for Unsymmetric and Symmetric Sparse Matrix-Vector Multiplications on Open MP Implementations.- Sparsification on Parallel Spectral Clustering.- A Multi GPU Read Alignment Algorithm with Model-Based Performance Optimization.- Parallel Smoother Based on Block Red-Black Ordering for Multigrid Poisson Solver.- Accelerating the Reorthogonalization of Singular Vectors with a Multi-core Processor.
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Hochleistungsrechnen
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Parallelverarbeitung
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Wissenschaftliches Rechnen
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| Added Entry
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Michel Daydé
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