On August 24, 2006, the Standard Performance Evaluation Corporation (SPEC) announced CPU2006 -- the next generation of industry-standardized CPU-intensive benchmark suite. The SPEC CPU benchmark suite has become the most frequently used suite for simulation-based computer architecture research. Detailed processor simulators take days to weeks to simulate each of the SPEC CPU programs. In order to reduce simulation to a tractable time, architects and researchers often use only a subset of benchmarks from the SPEC CPU suite to evaluate the potential of their ideas. Prior research has demonstrated that statistical techniques are most effective to find a representative subset of benchmark programs from a benchmark suite. The objective of this paper is to apply multivariate statistical data analysis techniques for selecting a representative subset of programs from the SPEC CPU2006 benchmark suite. We measure a set of performance counter based characteristics for the SPEC CPU2006 programs across a large number of architectures and apply multivariate statistical analysis techniques to find a representative subset of benchmarks and representative input sets wherever multiple input sets are provided. The results from this paper will help architects and researchers to find a smaller but representative set of programs from the SPEC CPU2006 benchmark suite, when time or resource constraints prohibit experimentation with the entire benchmark suite.
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Subsetting the SPEC CPU2006 benchmark suite
Phansalkar, Aashish; Joshi, Ajay; John, Lizy K.
Follow ACM SIGARCH Computer Architecture News
, Volume 35 (1)
Association for Computing Machinery – Mar 1, 2007
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