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Managing power in heterogeneous multicore systems

Managing power in heterogeneous multicore systems
Managing power in heterogeneous multicore 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). Managing this is an increasingly complex task, as systems shift from having a single processing element to multi- and many-core computing platforms with numerous cores of differing types. In this talk I will present our research into the runtime management (RTM) of such systems that have come out of the PRiME (www.prime-project.org) research project. 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 (2019) Managing power in heterogeneous multicore systems. 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip, York, United Kingdom. 01 - 03 Jul 2019. 47 pp .

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). Managing this is an increasingly complex task, as systems shift from having a single processing element to multi- and many-core computing platforms with numerous cores of differing types. In this talk I will present our research into the runtime management (RTM) of such systems that have come out of the PRiME (www.prime-project.org) research project. 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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Keynote Presentation - Accepted Manuscript
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More information

Published date: 2 July 2019
Venue - Dates: 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip, York, United Kingdom, 2019-07-01 - 2019-07-03

Identifiers

Local EPrints ID: 432355
URI: https://eprints.soton.ac.uk/id/eprint/432355
PURE UUID: 4f9e8e0a-218e-4627-8aed-27f2d8841b8d
ORCID for Geoff Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 11 Jul 2019 16:30
Last modified: 12 Jul 2019 00:34

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Contributors

Author: Geoff Merrett ORCID iD

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