RePAiR: A Strategy for Reducing Peak Temperature while Maximising Accuracy of Approximate Real-Time Computing: Work-in-Progress

Shounak Chakraborty, Sangeet Saha, Magnus Sjalander, Klaus McDonald-Maier

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Improving accuracy in approximate real-Time computing without violating thermal-energy constraints of the underlying hardware is a challenging problem. The execution of approximate real-Time tasks can individually be bifurcated into two components: (i) execution of the mandatory part of the task to obtain a result of acceptable quality, followed by (ii) partial/complete execution of the optional part, which refines the initially obtained result, to increase the accuracy without violating the temporal-deadline. This paper introduces RePAiR, a novel task-Allocation strategy for approximate real-Time applications, combined with fine-grained DVFS and on-line task migration of the cores and power-gating of the last level cache, to reduce chip-Temperature while respecting both deadline and thermal constraints. Furthermore, gained thermal benefits can be traded against system-level accuracy by extending the execution-Time of the optional part.

Original languageEnglish
Title of host publicationProceedings of the 2020 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2020
EditorsTulika Mitra, Andreas Gerstlauer
PublisherIEEE
Pages8-10
Number of pages3
ISBN (Electronic)9781728191980
ISBN (Print)9781728191997
DOIs
Publication statusPublished - 9 Nov 2020
Externally publishedYes
Event2020 International Conference on Hardware/Software Codesign and System Synthesis - Virtual, Online, Singapore
Duration: 20 Sep 202025 Sep 2020

Conference

Conference2020 International Conference on Hardware/Software Codesign and System Synthesis
Abbreviated titleCODES+ISSS 2020
Country/TerritorySingapore
CityVirtual, Online
Period20/09/2025/09/20

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