Prometheus: Coherent Exploration of Hardware and Software Optimizations Using Aspen
| Autor: | Shirley Moore, Jeffrey S. Vetter, Mariam Umar, Kirk W. Cameron |
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| Rok vydání: | 2018 |
| Předmět: |
Domain-specific language
business.industry Computer science Scale (descriptive set theory) 02 engineering and technology Supercomputer Reconfigurable computing Exascale computing 020202 computer hardware & architecture Software Unison 020204 information systems 0202 electrical engineering electronic engineering information engineering business Design space Computer hardware |
| Zdroj: | MASCOTS |
| Popis: | With the dramatic increase in scale expected for Exascale computing, there is a dire need for tuning of hardware configurations and software optimizations such that they are in unison. However, the expected increase in tunable hardware parameters makes searching through the design space for optimal hardware-and-software configurations much more challenging. Towards this end, we propose a composable hardware-software optimization framework called Prometheus. Prometheus uses a combination of analytical and machine-learning techniques to capture application characteristics and subsequently determine the hardware-software configuration for near-optimal performance. We evaluate Prometheus for its efficacy using two widely used proxy applications: LULESH and CoMD. We demonstrate that Prometheus identifies near-optimal hardware-software configurations and verify the results via brute-force search of the design space. |
| Databáze: | OpenAIRE |
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