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Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation)

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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.ContentsIntroduction - 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 - ConclusionsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation). To get started finding Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 0262082055

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.ContentsIntroduction - 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 - ConclusionsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation). To get started finding Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation)

Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation)

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