A scalable auto-tuning framework for compiler optimization

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

• Type: Conference
• Year: 2009
• Where: IPPS
• Authors: Ananta Tiwari, Chun Chen, Jacqueline Chame, Mary W. Hall, Jeffrey K. Hollingsworth
• Keywords: Compiler Transformation Framework, Compiler-generated Code, Distributed And Parallel Computing, IPPS 2009, Parallel Search Backend