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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: 159
Metha Jeeradit , Cornell University
Martin Burtscher , Cornell University
ABSTRACT
Trace files record the execution behavior of programs for future analysis. Unfortunately, nontrivial program traces tend to be very large and have to be compressed. While good compression schemes exist for traces that capture only the PCs of the executed instructions, these schemes can be ineffective on extended traces that include important additional information such as register values or effective addresses. Our novel, value-prediction-based approach compresses extended traces up to 22.8 times better and about two and a half times as well on average. In addition to the higher compression rate, our lossless single-pass algorithm has a fixed memory requirement and compresses traces faster than other algorithms. It achieves compression rates of up to 6170. This paper describes the design of our compression method and illustrates how value predictors can be used to effectively compress extended program traces.
INDEX TERMS
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CITATION
Metha Jeeradit, Martin Burtscher, "Compressing Extended Program Traces Using Value Predictors", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 159, 2003, doi:10.1109/PACT.2003.1238012
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