PERI auto-tuning
David H. Bailey, Jaqueline Chame, C Chen, Jack J. Dongarra, Mary W. Hall, Jeffrey K. Hollingsworth, Paul Hovland, Shirley Moore, Keith Seymour, J Shin, A Tiwari, Samuel Williams, H You · Journal of Physics Conference Series · 2008
The enormous and growing complexity of today's high-end systems has increased the already significant challenges of obtaining high performance on equally complex scientific applications. Application scientists are faced with a daunting challenge in tuning their codes to exploit performance-enhancing architectural features. The Performance Engineering Research Institute (PERI) is working toward the goal of automating portions of the performance tuning process. This paper describes PERI's overall strategy for auto-tuning tools and recent progress in both building auto-tuning tools and demonstrating their success on kernels, some taken from large-scale applications.