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Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation) | 
 enlarge | Authors: Philip J. Hatcher, Michael J. Quinn
Publisher: The MIT Press
Buy New: $42.00
New (9) Used (15) from $4.12
Media: Hardcover
Pages: 247
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 9.4 x 7.3 x 0.8
ISBN: 0262082055
Dewey Decimal Number: 005.2
EAN: 9780262082051
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Product Description
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.
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