Commercializing Profile-Driven Optimization (1995)
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| Venue: | IN PROC. 28TH HAWAII INT'L. CONF. ON SYSTEM SCIENCES |
| Citations: | 3 - 2 self |
BibTeX
@INPROCEEDINGS{Cox95commercializingprofile-driven,
author = {J. Stan Cox and David P. Howell and Thomas M. Conte},
title = {Commercializing Profile-Driven Optimization},
booktitle = {IN PROC. 28TH HAWAII INT'L. CONF. ON SYSTEM SCIENCES},
year = {1995},
pages = {221--228},
publisher = {IEEE Computer Society Press}
}
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Abstract
There are a broad selection of code-improving optimizations and scheduling techniques based on profile information. Industry has been slow to productize these because traditional ways of profiling are cumbersome. Profiling slows down the execution of a program by factors of 2 to 30 times. Software vendors must compile, profile, and then re-compile their products. In addition, profiling requires a representative set of inputs and is hard to validate. Finally, profiling has had little success for system code such as kernel and I/O drivers. This paper discusses experiences AT&T Global Information Solutions has had with commercializing profile-driven optimizations. Three approaches to profiling are discussed, along with results and comments concerning their advantages and drawbacks. The validity of profiling is discussed. One new innovation, hardware-based profiling, removes many of the problems vendors have with profiling. The paper also discusses methods to profile system code and suppo...
