Tuning parallel applications in parallel |
| |
Authors: | Ananta Tiwari Vahid Tabatabaee Jeffrey K Hollingsworth |
| |
Affiliation: | aDepartment of Computer Science, University of Maryland, College Park, MD 20742, United States |
| |
Abstract: | In this paper, we present and evaluate a parallel algorithm for parameter tuning of parallel applications. We discuss the impact of performance variability on the accuracy and efficiency of the optimization algorithm and propose a strategy to minimize the impact of this variability. We evaluate our algorithm within the Active Harmony system, an automated online/offline tuning framework. We study its performance on three benchmark codes: PSTSWM, HPL and POP. Compared to the Nelder–Mead algorithm, our algorithm finds better configurations up to seven times faster. For POP, we were able to improve the performance of a production sized run by 59%. |
| |
Keywords: | Parallel application tuning Parallel Rank Ordering algorithm Nelder– Mead simplex algorithm Active Harmony |
本文献已被 ScienceDirect 等数据库收录! |
|