High Performance Computing for Computational Science - VECPAR 2012 10th International Conference, Kope, Japan, July 17-20, 2012, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Daydé, Michel (Επιμελητής έκδοσης), Marques, Osni (Επιμελητής έκδοσης), Nakajima, Kengo (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Lecture Notes in Computer Science, 7851
• Θέματα: Computer science.; Arithmetic and logic units, Computer.; Computer system failures.; Algorithms.; Numerical analysis.; Computer graphics.; Computer Science.; Algorithm Analysis and Problem Complexity.; System Performance and Evaluation.; Arithmetic and Logic Structures.; Numeric Computing.; Computer Imaging, Vision, Pattern Recognition and Graphics.

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. The 28 papers presented together with 7 invited talks were carefully selected during...

Πίνακας περιεχομένων:

• 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.