Abstract
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.
| Original language | English |
|---|---|
| Article number | 012089 |
| Journal | Journal of Physics: Conference Series |
| Volume | 125 |
| DOIs | |
| State | Published - 2008 |
| Externally published | Yes |
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