Reducing search space of auto-tuners using parallel patterns

Authors:
Christoph A. Schaefer
Affiliations:
University of Karlsruhe (TH), Institute for Program Structures and Data Organization (IPD), Am Fasanengarten 5, 76131, Germany
Venue:
IWMSE '09 Proceedings of the 2009 ICSE Workshop on Multicore Software Engineering
Year:
2009

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Abstract

Auto-tuning is indispensable to achieve best performance of parallel applications, as manual tuning is extremely labor intensive and error-prone. Search-based auto-tuners offer a systematic way to find performance optimums, and existing approaches provide promising results. However, they suffer from large search spaces.