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

Chakraborty, Shounak and Saha, Sangeet and Sjalander, Magnus and McDonald-Maier, Klaus (2020) RePAiR: A Strategy for Reducing Peak Temperature while Maximising Accuracy of Approximate Real-Time Computing: Work-in-Progress. In: 2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2020-09-20 - 2020-09-25, Singapore.

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 01 Dec 2020 16:59
Last Modified: 23 Dec 2020 03:15
URI: http://repository.essex.ac.uk/id/eprint/29245

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