Parallel Computing : Accelerating Computational Science and Engineering (CSE).

Parallel computing has been the enabling technology of high-end machines for many years. Now, it has finally become the ubiquitous key to the efficient use of any kind of multi-processor computer architecture, from smart phones, tablets, embedded systems and cloud computing up to exascale computers....

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Bibliographic Details
Main Author: Bader, M.
Format: Electronic eBook
Language:English
Published: IOS Press, 2014.
©2014
Subjects:
Online Access: Full text (MFA users only)
ISBN:1306902983
9781306902984
9781614993810
1614993815
ISSN:1879-808X ;
Local Note:ProQuest Ebook Central
Table of Contents:
  • Title Page; Preface; Conference Organisation; Contents; Invited Talks; Extreme Data Science at the National Energy Research Scientific Computing (NERSC) Center; Performance Analysis Techniques for the Exascale Co-Design Process; Parallel Programming Models; XMP-IO Function and Its Application to MapReduce on the K Computer; POLCA
  • A Programming Model for Large Scale, Strongly Heterogeneous Infrastructures; Exploitation of Quality/Throughput Tradeoffs in Image Processing Through Invasive Computing; An Efficient Thread Mapping Strategy for Multiprogramming on Manycore Processors.
  • A Scalable Farm Skeleton for Heterogeneous Parallel ProgrammingTowards Truly Boolean Arrays in Data-Parallel Array Processing; Deep Packet Inspection on Commodity Hardware Using FastFlow; Performance Analysis and Tools; Formalizing Bottlenecks in Task-Based OpenMP Applications; Characterizing Performance of Applications on Blue Gene/Q; Specification of Periscope Tuning Framework Plugins; Parallel Numerical Linear Algebra; On Using Speculative Computations for Parallel Reduction to Tridiagonal Form.
  • Fast Approximate Solution of the Non-Symmetric Generalized Eigenvalue Problem on Multicore ArchitecturesLocality Optimization on a NUMA Architecture for Hybrid LU Factorization; Variable Block Algebraic Recursive Multilevel Solver (VBARMS) for Sparse Linear Systems; A Proposal of a Single-Synchronized Solver Suited to Large Scale Linear Systems on Parallel Computers with Distributed Memory; Approximate Inverse Preconditioners for Krylov Methods on Heterogeneous Parallel Computers.
  • Cache and Energy Efficiency of Sparse Matrix-Vector Multiplication for Different BLAS Numerical Types with the RSB FormatHeterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms; Parallel Algorithms; MapReduce Streaming Algorithms for Laplace Relaxation on the Cloud; Space Exploration Using Parallel Orbits: A Study in Parallel Symbolic Computing; SFC-Based Communication Metadata Encoding for Adaptive Mesh Refinement; Graph Repartitioning with Both Dynamic Load and Dynamic Processor Allocation; ForestClaw: Hybrid Forest-of-Octrees AMR for Hyperbolic Conservation Laws.
  • A Space-Time Parallel Solver for the Three-Dimensional Heat EquationAn Efficient Pipelined Implementation of Space-Time Parallel Applications; GPU Computing and Applications; Efficient GPU-Based Optimization of Volume Meshes; Fast Uniform Grid Construction on GPGPUs Using Atomic Operations; Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX; Numerical Simulation of the Low Compressible Viscous Gas Flows on GPU-Based Hybrid Supercomputers; Simulation of Multiphase Flows in the Subsurface on GPU-Based Supercomputers.
  • Atomic Computing
  • A Different Perspective on Massively Parallel Problems.