Performance of runtime optimization on BLAST

Abhinav Das, Jiwei Lu, Howard Chen, Jinpyo Kim, Pen Chung Yew, Wei Chung Hsu, Dong Yuan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Optimization of a real world application BLAST is used to demonstrate the limitations of static and profile-guided optimizations and to highlight the potential of runtime optimization systems. We analyze the performance profile of this application to determine performance bottlenecks and evaluate the effect of aggressive compiler optimizations on BLAST. We find that applying common optimizations (e.g. O3) can degrade performance. Profile guided optimizations do not show much improvement across the board, as current implementations do not address critical performance bottlenecks in BLAST. In some cases, these optimizations lower performance significantly due to unexpected secondary effects of aggressive optimizations. We also apply runtime optimization to BLAST using the ADORE framework. ADORE is able to detect performance bottlenecks and deploy optimizations resulting in performance gains up to 58% on some queries using data cache prefetching.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 International Symposium on Code Generation and Optimization, CGO 2005
Pages86-95
Number of pages10
DOIs
StatePublished - 2005

Publication series

NameProceedings of the 2005 International Symposium on Code Generation and Optimization, CGO 2005
Volume2005

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