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This report presents an overview of the state of the art on several approaches to improve software energy efficiency: code optimisation to speed up execution and to reduce memory access; parallelisation across multiple hardware cores to speed up execution; tuning compiler optimisations; code rewrite to target accelerators. Our recommendations are to invest in experts to assist researchers with those tasks and to invest in funding for research and development into tools to automate energy efficiency optimisation.
Part of the UKRI Net Zero Digital Research Infrastructure Scoping Project
energy efficiency, software, optimisation
energy efficiency, software, optimisation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 12 |

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