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

Autor:	Sagnik Nandy, Xiaofeng Gao, Jeanne Ferrante
Rok vydání:	2004
Předmět:	Profiling (computer programming) Computer science Performance prediction Optimizing compiler ComputerApplications_COMPUTERSINOTHERSYSTEMS Statistical analysis Parallel computing Dynamic compilation Overall performance Total factor productivity Time sensitive
Zdroj:	Languages and Compilers for Parallel Computing ISBN: 9783540211990 LCPC
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1f7bf84d04df4e0c329b72d5128a3b1b https://doi.org/10.1007/978-3-540-24644-2_3 Zobrazit plný text záznamu