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Run-time power management of multi- and many-core systems

Run-time power management of multi- and many-core systems
Run-time power management of multi- and many-core systems
Power- and energy-efficiency continues to be a primary concern in the design and management of computing systems, through from mobile devices (battery life and temperature) to HPC (electricity bills and temperature). In this talk I will give a summary of our research into the runtime management (RTM) of multi- and many-core computing systems, that have come out of the PRiME (www.prime-project.org) and Graceful research projects. I will present a range of different approaches that we have developed and experimentally validated, and the key findings that we have made along the way. These encompass 1) exploring RTM on both novel and heterogeneous/homogeneous COTS multi-core platforms, 2) the impact of core scaling on RTMs, 3) issues and approaches for managing concurrently executing workloads on shared resource, and 4) comparing the impact of offline vs online characterisation approaches. I will also present a range of open-source tools that we have developed and released through these projects, spanning simulation and runtime power models for multi-core CPUs, to a framework for researchers to incorporate multi-core runtime management into their system and enable level comparison with the SoA.
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020

Merrett, Geoff (2018) Run-time power management of multi- and many-core systems. At Adaptive Many-Core Architectures and Systems Workshop (15/06/18) Adaptive Many-Core Architectures and Systems Workshop, York, United Kingdom. 13 - 15 Jun 2018.

Record type: Conference or Workshop Item (Other)

Abstract

Power- and energy-efficiency continues to be a primary concern in the design and management of computing systems, through from mobile devices (battery life and temperature) to HPC (electricity bills and temperature). In this talk I will give a summary of our research into the runtime management (RTM) of multi- and many-core computing systems, that have come out of the PRiME (www.prime-project.org) and Graceful research projects. I will present a range of different approaches that we have developed and experimentally validated, and the key findings that we have made along the way. These encompass 1) exploring RTM on both novel and heterogeneous/homogeneous COTS multi-core platforms, 2) the impact of core scaling on RTMs, 3) issues and approaches for managing concurrently executing workloads on shared resource, and 4) comparing the impact of offline vs online characterisation approaches. I will also present a range of open-source tools that we have developed and released through these projects, spanning simulation and runtime power models for multi-core CPUs, to a framework for researchers to incorporate multi-core runtime management into their system and enable level comparison with the SoA.

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More information

Accepted/In Press date: 26 May 2018
e-pub ahead of print date: June 2018
Venue - Dates: Adaptive Many-Core Architectures and Systems Workshop, York, United Kingdom, 2018-06-13 - 2018-06-15

Identifiers

Local EPrints ID: 422389
URI: https://eprints.soton.ac.uk/id/eprint/422389
PURE UUID: 4812b6db-6a7d-4832-86cc-a475149a4815
ORCID for Geoff Merrett: ORCID iD orcid.org/0000-0003-4980-3894

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Date deposited: 23 Jul 2018 16:30
Last modified: 24 Jul 2018 00:35

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