Data-parallel programming on MIMD computers
Author(s)
Bibliographic Information
Data-parallel programming on MIMD computers
(Scientific and engineering computation)
MIT Press, c1991
Available at / 29 libraries
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Ibaraki University Library, Hitachi Branch分
007.64:Hat219102581,219102584,219200133,219300394,219301067
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers.
MIMD computers are notoriously difficult to program. Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers. The authors provide enough data so that the reader can decide the feasibility of architecture-independent programming in a data-parallel language. For each benchmark program they give the source code listing, absolute execution time on both a multiprocessor and a multicomputer, and a speedup relative to a sequential program. And they often present multiple solutions to the same problem, to better illustrate the strengths and weaknesses of these compilers. The language presented is Dataparallel C, a variant of the original C* language developed by Thinking Machines Corporation for its Connection Machine processor array. Separate chapters describe the compilation of Dataparallel C programs for execution on the Sequent multiprocessor and the Intel and nCUBE hypercubes, respectively. The authors document the performance of these compilers on a variety of benchmark programs and present several case studies.
Contents
Introduction * Dataparallel C Programming Language Description * Design of a Multicomputer Dataparallel C Compiler * Design of a Multiprocessor Dataparallel C Compiler * Writing Efficient Programs * Benchmarking the Compilers * Case Studies * Conclusions
Table of Contents
- Dataparallel C programming language description
- design of a multicomputer dataparallel C compiler
- design of a multiprocessor data parallel C compiler
- writing efficient programs
- benchmarking the compilers
- case studies.
by "Nielsen BookData"