Multiscale Thermal Management of Computing Systems - The MULTITHERMAN approach

Bartolini, Andrea; Conficoni, Christian; Diversi, Roberto; Tilli, Andrea; Benini, Luca

doi:10.1016/j.ifacol.2017.08.1168

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Cited by 6 publications

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“…34,35 Examples of the holistic approach, when the above mentioned components are considered together to be the PowerStack project. 36 Multi-scale hierarchical thermal control has been investigated in Reference [37].…”

Section: Related Workmentioning

confidence: 99%

Towards bespoke optimizations of energy efficiency in HPC environments

Tracey,

Elisseev,

Smyrnakis

et al. 2023

Applied AI Letters

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We present bespoke energy efficiency optimizations in high performance computing (HPC) environments using holistic approach to data collection, analysis and proactive management of resources and workloads. Our solution has three major components: (i) platform for collecting, storing and processing data from multiple sources across hardware and software stacks, (ii) collections of regression machine learning (ML) algorithms for making workloads classifications and energy usage predictions, (iii) agent‐based decision‐making framework for delivering control decisions to middle‐ware and infrastructure thus supporting real time or near real energy efficiency optimizations. We will provide some concrete examples of using our proposed approach in HPC environment.

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Section: Related Workmentioning

confidence: 99%