A framework for measuring supercomputer productivity

doi:10.1177/1094342004048535

2004-11-01

PRE

Marc Snir

David A. Bader

DOI：10.1177/1094342004048535

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摘要

En 中文

We propose a framework for measuring the productivity of high performance computing (HPC) systems, based on common economic definitions of productivity and on utility theory. We discuss how these definitions can capture essential aspects of HPC systems, such as the importance of time-to-solution and the trade-off between programming time and execution time. Finally, we outline a research program that would lead to the definition of effective productivity metrics for HPC that fit within the proposed framework.

Keyword:

productivity

high-performance computing

performance metrics

benchmarks

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期刊

International Journal of High Performance Computing Applications

IF:

2.5

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1.1K

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1.3K

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