Portability and performance for parallel processing

Bibliographic Information

Portability and performance for parallel processing

edited by Tony Hey and Jeanne Ferrante

Wiley, c1994

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Includes bibliographical references and index

Description and Table of Contents

Description

Without the portability of software, parallel computers are too expensive to program. Although portability and performance are important for parallel processing, they are often in conflict. This study explores possible means of resolving that conflict. Presenting key topics in parallel computation, the volume covers a wide spectrum of machine styles (shared memory, message passing, PRAMs, etc) and is concerned with software methodologies, programming languages and computational models, and the various measurement techniques for comparing their efficiency on highly parallel machines.

Table of Contents

  • Partial table of contents:
  • Foundations of Practical Parallel Programming Languages (L. Snyder)
  • Towards a Model for Portable Parallel Performance: Exposing the Memory Hierarchy (B. Alpern & L. Carter)
  • An Architecture Independent Programming Model for Scalable Parallel Computing (W. McColl)
  • Fast Parallel Sorting Under LogP: From Theory to Practice (D. Culler, et al.)
  • CICO: A Practical Shared-Memory Programming Performance Model (J. Larus, et al.)
  • Performance, Portability and Implicit Parallelism (F. Irigoin)
  • Portable Parallel Programming (T. Brandes & C.-A
  • Thole)
  • Performance Parameters and Results for the Genesis Parallel Benchmarks (R. Hockney)
  • Index.

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