On the influence of programming models on shared memory computer performance

T. Ngo, L. Snyder
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引用次数: 36

Abstract

Experiments are presented indicating that on shared-memory machines, programs written in the nonshared-memory programming model generally offer better performance, in addition to being more portable and scalable. The authors study the LU decomposition problem and a molecular dynamics simulation on three shared-memory machines with widely differing architectures, and analyze the results from three perspectives: performance, speedup, and scaling.<>
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编程模型对共享内存计算机性能的影响
实验表明,在共享内存机器上,用非共享内存编程模型编写的程序除了具有更强的可移植性和可扩展性外,通常还能提供更好的性能。作者在三台架构各异的共享内存机器上研究了LU分解问题和分子动力学模拟,并从性能、加速和扩展三个角度分析了结果。
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Scalable parallel molecular dynamics on MIMD supercomputers On the influence of programming models on shared memory computer performance Using atomic data structures for parallel simulation Scalability issues for a class of CFD applications Scalability of data transport
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