Details

Autor(en) / Beteiligte

• Tiwari, A.
• Chun Chen
• Chame, J.
• Hall, M.
• Hollingsworth, J.K.

Titel

A scalable auto-tuning framework for compiler optimization

Ist Teil von

• 2009 IEEE International Symposium on Parallel & Distributed Processing, 2009, p.1-12

Ort / Verlag

IEEE

Erscheinungsjahr

2009

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• We describe a scalable and general-purpose framework for auto-tuning compiler-generated code. We combine Active Harmony's parallel search backend with the CHiLL compiler transformation framework to generate in parallel a set of alternative implementations of computation kernels and automatically select the one with the best-performing implementation. The resulting system achieves performance of compiler-generated code comparable to the fully automated version of the ATLAS library for the tested kernels. Performance for various kernels is 1.4 to 3.6 times faster than the native Intel compiler without search. Our search algorithm simultaneously evaluates different combinations of compiler optimizations and converges to solutions in only a few tens of search-steps.