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High Performance Computing for Computational Science - VECPAR 2012

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Table of Contents

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    Book Overview
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    Chapter 1 Barriers to Exascale Computing
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    Chapter 2 Toward a Theory of Algorithm-Architecture Co-design
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    Chapter 3 Visualization of Strong Ground Motion from the 2011 Off Tohoku, Japan (Mw=9.0) Earthquake Obtained from Dense Nation-Wide Seismic Network and Large-Scale Parallel FDM Simulation
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    Chapter 4 Grand Challenge in Life Science on K Computer
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    Chapter 5 HPC/PF - High Performance Computing Platform: An Environment That Accelerates Large-Scale Simulations
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    Chapter 6 Programming the LU Factorization for a Multicore System with Accelerators
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    Chapter 7 Efficient Two-Level Preconditioned Conjugate Gradient Method on the GPU
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    Chapter 8 High Performance Computing for Computational Science - VECPAR 2012
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    Chapter 9 A High Performance SYMV Kernel on a Fermi-core GPU
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    Chapter 10 Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators
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    Chapter 11 Numerical Simulation of Long-Term Fate of CO 2 Stored in Deep Reservoir Rocks on Massively Parallel Vector Supercomputer
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    Chapter 12 High Performance Simulation of Complicated Fluid Flow in 3D Fractured Porous Media with Permeable Material Matrix Using LBM
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    Chapter 13 Parallel Scalability Enhancements of Seismic Response and Evacuation Simulations of Integrated Earthquake Simulator
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    Chapter 14 QMC=Chem: A Quantum Monte Carlo Program for Large-Scale Simulations in Chemistry at the Petascale Level and beyond
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    Chapter 15 Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication
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    Chapter 16 Implementation and Evaluation of 3D Finite Element Method Application for CUDA
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    Chapter 17 Evaluation of Two Parallel Finite Element Implementations of the Time-Dependent Advection Diffusion Problem: GPU versus Cluster Considering Time and Energy Consumption
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    Chapter 18 A Service-Oriented Architecture for Scientific Computing on Cloud Infrastructures
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    Chapter 19 Interactive Volume Rendering Based on Ray-Casting for Multi-core Architectures
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    Chapter 20 Automatic Generation of the HPC Challenge’s Global FFT Benchmark for BlueGene/P
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    Chapter 21 Matrix Multiplication on Multidimensional Torus Networks
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    Chapter 22 High Performance CPU Kernels for Multiphase Compressible Flows
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    Chapter 23 Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations
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    Chapter 24 Control Formats for Unsymmetric and Symmetric Sparse Matrix–Vector Multiplications on OpenMP Implementations
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    Chapter 25 Sparsification on Parallel Spectral Clustering
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    Chapter 26 An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning
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    Chapter 27 A Multi GPU Read Alignment Algorithm with Model-Based Performance Optimization
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    Chapter 28 OpenMP/MPI Hybrid Parallel ILU(k) Preconditioner for FEM Based on Extended Hierarchical Interface Decomposition for Multi-core Clusters
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    Chapter 29 Parallel Smoother Based on Block Red-Black Ordering for Multigrid Poisson Solver
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    Chapter 30 Software Transactional Memory, OpenMP and Pthread Implementations of the Conjugate Gradients Method – A Preliminary Evaluation
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    Chapter 31 A Smart Tuning Strategy for Restart Frequency of GMRES( m ) with Hierarchical Cache Sizes
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    Chapter 32 Adaptive Off-Line Tuning for Optimized Composition of Components for Heterogeneous Many-Core Systems
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    Chapter 33 A Domain-Specific Compiler for Linear Algebra Operations
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    Chapter 34 Designing Linear Algebra Algorithms by Transformation: Mechanizing the Expert Developer
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    Chapter 35 Accelerating the Reorthogonalization of Singular Vectors with a Multi-core Processor
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    Chapter 36 Auto-tuning the Matrix Powers Kernel with SEJITS
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    Chapter 37 Auto-tuning of Numerical Programs by Block Multi-color Ordering Code Generation and Job-Level Parallel Execution
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    Chapter 38 Automatic Parameter Optimization for Edit Distance Algorithm on GPU
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    Chapter 39 Automatic Tuning of Parallel Multigrid Solvers Using OpenMP/MPI Hybrid Parallel Programming Models
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    Chapter 40 A Predictive Performance Model for Stencil Codes on Multicore CPUs
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Title
High Performance Computing for Computational Science - VECPAR 2012
Published by
Springer Berlin Heidelberg, May 2013
DOI 10.1007/978-3-642-38718-0
ISBNs
978-3-64-238717-3, 978-3-64-238718-0
Editors

Daydé, Michel, Marques, Osni, Nakajima, Kengo

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 7%
Professor > Associate Professor 1 3%
Student > Postgraduate 1 3%
Researcher 1 3%
Unknown 25 83%
Readers by discipline Count As %
Engineering 3 10%
Computer Science 2 7%
Unknown 25 83%