(Enter summary)
Abstract: 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. (Update)
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BibTeX entry: (Update)
E. Perelman, G. Hamerly, and B. Calder. Picking statistically valid and early simulation points. In International Conference on Parallel Architectures and Compilation Techniques, September 2003. http://citeseer.ist.psu.edu/perelman03picking.html More
@misc{ perelman03picking,
author = "E. Perelman and G. Hamerly and B. Calder",
title = "Picking statistically valid and early simulation points",
text = "E. Perelman, G. Hamerly, and B. Calder. Picking statistically valid and
early simulation points. In International Conference on Parallel Architectures
and Compilation Techniques, September 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/perelman03picking.html" }
Citations (may not include all citations):
386
ATOM: A system for building customized program analysis tool.. (context) - Srivastava, Eustace - 1994
283
Some methods for classification and analysis of multivariate..
- MacQueen - 1967
134
Statistical Inference (context) - Casella, Berger - 2002
107
Technical Report CS-TR (context) - Burger, Austin et al. - 1997
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Automatically characterizing large scale program behavior
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46
Basic block distribution analysis to find periodic behavior ..
- Sherwood, Perelman et al. - 2001
45
A reference Bayesian test for nested hypotheses and its rela..
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45
Accurate low-cost methods for performance evaluation of cach.. (context) - Laha, Patel et al. - 1988
35
A comparison of trace-sampling techniques for multi-megabyte..
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33
Experiments with random projection (context) - Dasgupta - 2000
31
A model for estimating tracesample miss ratios
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27
Adapting the SPEC (context) - KleinOsowski, Flynn et al. - 2000
24
Reducing state loss for effective trace sampling of supersca..
- Conte, Hirsch et al. - 1996
21
HLS: Combining statistical and symbolic simulation to guide ..
- Oskin, Chong et al. - 2000
19
means with efficient estimation of the number of clusters (context) - Pelleg, Moore et al. - 2000
14
Smarts: Accelerating microarchitecture simulation via rigoro..
- Wunderlich, Wenisch et al. - 2003
12
Minimal subset evaluation: Rapid warm-up for simulated hardw..
- Haskins, Skadron - 2001
11
Modeling superscalar processors via statistical simulation
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7
Accelerating architectural simulation by parallel execution .. (context) - Lauterbach - 1993
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Memory reference reuse latency: Accelerated sampled microarc..
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4
Combining trace sampling with single pass methods for effici..
- Conte, Hirsch et al. - 1998
2
Memory reference reuse latency: Accelerating sampled microar.. (context) - Haskins, Skadron - 2002
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