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2004 | OriginalPaper | Buchkapitel

TFP: Time-Sensitive, Flow-Specific Profiling at Runtime

verfasst von : Sagnik Nandy, Xiaofeng Gao, Jeanne Ferrante

Erschienen in: Languages and Compilers for Parallel Computing

Verlag: Springer Berlin Heidelberg

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Program profiling can help performance prediction and compiler optimization. This paper describes the initial work behind TFP, a new profiling strategy that can gather and verify a range of flow-specific information at runtime. While TFP can collect more refined information than block, edge or path profiling, it is only 5.75% slower than a very fast runtime path-profiling technique. Statistics collected using TFP over the SPEC2000 benchmarks reveal possibilities for further flow-specific runtime optimizations. We also show how TFP can improve the overall performance of a real application.

Metadaten
Titel
TFP: Time-Sensitive, Flow-Specific Profiling at Runtime
verfasst von
Sagnik Nandy
Xiaofeng Gao
Jeanne Ferrante
Copyright-Jahr
2004
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-24644-2_3

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