Repository | Book | Chapter
(2002) Progress in discovery science, Dordrecht, Springer.
Knowledge discovery in auto-tuning parallel numerical library
Hisayasu Kuroda , Takahiro Katagiri , Yasumasa Kanada
pp. 628-639
This paper proposes the parallel numerical library called ILIB which realises auto-tuning facilities with selectable calculation kernels, communication methods between processors, and various number of unrolling for loop expansion. This auto-tuning methodology has advantage not only in usability of library but also in performance of library. In fact, results of the performance evaluation show that the auto-tuning or auto-correction feature for the parameters is a crucial technique to attain high performance. A set of parameters which are auto-selected by this auto-tuning methodology gives us several kinds of important knowledge for highly efficient program production. These kinds of knowledge will help us to develop some other high-performance programs, in general.
Publication details
Full citation:
Kuroda, H. , Katagiri, T. , Kanada, Y. (2002)., Knowledge discovery in auto-tuning parallel numerical library, in S. Arikawa & A. Shinohara (eds.), Progress in discovery science, Dordrecht, Springer, pp. 628-639.
This document is unfortunately not available for download at the moment.