Algorithms for Parallel Processing / Edition 1

Algorithms for Parallel Processing / Edition 1

by Michael T. Heath

ISBN-10: 0387986804

ISBN-13: 9780387986807

Pub. Date: 02/01/1999

Publisher: Springer New York

Product Details

Springer New York
Publication date:
IMA Volumes in Mathematics and its Applications Series, #105
Edition description:
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

A general-purpose shared-memory model for parallel computation1
Supporting a coherent shared address space across SMP nodes: An application-driven investigation19
Single-message vs. batch communication61
Some simple and practical strategies for parallelism75
Locality in computing connected components89
Routing in optical and wireless networks101
Transparent parallel transactions on replicated autonomous databases117
Mathematical tools for loop transformations: From systems of uniform recurrence equations to the polytope model147
The scalability of mesh improvement algorithms185
Data parallel performance optimizations using array aliasing213
Coarsening, sampling, and smoothing: Elements of the multilevel method247
Some methods of parallel pseudorandom number generation277
Performance of parallel sparse triangular solution289
Determining an out-of-core FFT decomposition strategy for parallel disks by dynamic programming307
Enabling department-scale supercomputing321
Providing uniform dynamic access to numerical software345

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