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Created page with "''Energy Usage for Parallel Haskell Programs by Kevin Hammond'' Understanding and controlling software energy usage is an increasing concern in many settings. We measure and..." |
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''Energy Usage for Parallel Haskell Programs by Kevin Hammond | ''Energy Usage for Parallel Haskell Programs'' by Kevin Hammond | ||
Understanding and controlling software energy usage is an increasing concern in many settings. We measure and correlate the energy usage of several parallel Haskell programs against execution time and other runtime system (RTS) metrics, produced using the standard Haskell compiler, GHC. We use these results to construct energy models and relate the predictions that we obtain to measured results from actual parallel executions. Our results show that we can build generic energy models for a specific parallel architecture that have good prediction ability for a number of parallel Haskell programs. | Understanding and controlling software energy usage is an increasing concern in many settings. We measure and correlate the energy usage of several parallel Haskell programs against execution time and other runtime system (RTS) metrics, produced using the standard Haskell compiler, GHC. We use these results to construct energy models and relate the predictions that we obtain to measured results from actual parallel executions. Our results show that we can build generic energy models for a specific parallel architecture that have good prediction ability for a number of parallel Haskell programs. | ||
Latest revision as of 09:19, 22 April 2019
Energy Usage for Parallel Haskell Programs by Kevin Hammond
Understanding and controlling software energy usage is an increasing concern in many settings. We measure and correlate the energy usage of several parallel Haskell programs against execution time and other runtime system (RTS) metrics, produced using the standard Haskell compiler, GHC. We use these results to construct energy models and relate the predictions that we obtain to measured results from actual parallel executions. Our results show that we can build generic energy models for a specific parallel architecture that have good prediction ability for a number of parallel Haskell programs.
