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Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (2003)
New Orleans, Louisiana
Sept. 27, 2003 to Oct. 1, 2003
ISSN: 1089-795X
ISBN: 0-7695-2021-9
pp: 244
Brad Calder , University of California at San Diego
Greg Hamerly , University of California at San Diego
Erez Perelman , University of California at San Diego
ABSTRACT
<p>Modern architecture research relies heavily on detailed pipeline simulation. Simulating the full execution of an industry standard benchmark can take weeks to months to complete. To address this issue we have recently proposed using Simulation Points (found by only examining basic block execution frequency profiles) to increase the efficiency and accuracy of simulation. Simulation points are a small set of execution samples that when combined represent the complete execution of the program.</p> <p>In this paper we present a statistically driven algorithm for forming clusters from which simulation points are chosen, and examine algorithms for picking simulation points earlier in a program?s execution - in order to significantly reduce fast-forwarding time during simulation. In addition, we show that simulation points can be used independent of the underlying architecture. The points are generated once for a program/input pair by only examining the code executed. We show the points accurately track hardware metrics (e.g., performance and cache miss rates) between different architecture configurations. They can therefore be used across different architecture configurations to allow a designer to make accurate trade-off decisions between different configurations.</p>
INDEX TERMS
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CITATION
Brad Calder, Greg Hamerly, Erez Perelman, "Picking Statistically Valid and Early Simulation Points", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 244, 2003, doi:10.1109/PACT.2003.1238020
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