http://mw.hh.se/wg211/index.php?action=history&feed=atom&title=WG211%2FM19Hammond 2026-04-05T21:09:44Z Revision history for this page on the wiki MediaWiki 1.43.5 http://mw.hh.se/wg211/index.php?title=WG211/M19Hammond&diff=1991&oldid=prev 2019-04-22T07:19:10Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 09:19, 22 April 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>''Energy Usage for Parallel Haskell Programs by Kevin Hammond<del style="font-weight: bold; text-decoration: none;">''</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>''Energy Usage for Parallel Haskell Programs<ins style="font-weight: bold; text-decoration: none;">'' </ins>by Kevin Hammond</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>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.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>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.</div></td></tr> </table>

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<p>Created page with &quot;&#039;&#039;Energy Usage for Parallel Haskell Programs by Kevin Hammond&#039;&#039; Understanding and controlling software energy usage is an increasing concern in many settings. We measure and...&quot;</p> <p><b>New page</b></p><div>&#039;&#039;Energy Usage for Parallel Haskell Programs by Kevin Hammond&#039;&#039;<br /> <br /> 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.</div>

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