Event-based high throughput computing: a series of case studies on a massively parallel softcore machine
Event-based high throughput computing: a series of case studies on a massively parallel softcore machine
This paper introduces an event-based computing paradigm, where workers only perform computation in response to external stimuli (events). This approach is best employed on hardware with many thousands of smaller compute cores with a fast, low-latency interconnect, as opposed to traditional computers with fewer and faster cores. Event-based computing is timely because it provides an alternative to traditional big computing, which suffers from immense infrastructural and power costs. This paper presents four case study applications, where an event-based computing approach finds solutions to orders of magnitude more quickly than the equivalent traditional big compute approach, including problems in computational chemistry and condensed matter physics.
Vousden, Mark
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Bragg, Graeme Mclachlan
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Thomas, David Barrie
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Brown, Andrew
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Morris, Jordan
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Beaumont, Jonathan R.
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Rafiev, Ashur
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Luk, Wayne
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Vousden, Mark
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Bragg, Graeme Mclachlan
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Thomas, David Barrie
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Brown, Andrew
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Morris, Jordan
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Beaumont, Jonathan R.
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Rafiev, Ashur
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Luk, Wayne
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Vousden, Mark, Bragg, Graeme Mclachlan, Thomas, David Barrie, Brown, Andrew, Morris, Jordan, Beaumont, Jonathan R., Rafiev, Ashur and Luk, Wayne
(2022)
Event-based high throughput computing: a series of case studies on a massively parallel softcore machine.
IET Computers & Digital Techniques.
(doi:10.1049/cdt2.12051).
Abstract
This paper introduces an event-based computing paradigm, where workers only perform computation in response to external stimuli (events). This approach is best employed on hardware with many thousands of smaller compute cores with a fast, low-latency interconnect, as opposed to traditional computers with fewer and faster cores. Event-based computing is timely because it provides an alternative to traditional big computing, which suffers from immense infrastructural and power costs. This paper presents four case study applications, where an event-based computing approach finds solutions to orders of magnitude more quickly than the equivalent traditional big compute approach, including problems in computational chemistry and condensed matter physics.
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IET Computers Digital Tech - 2022 - Vousden - Event‐based high throughput computing A series of case studies on a
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Accepted/In Press date: 5 December 2022
e-pub ahead of print date: 19 December 2022
Identifiers
Local EPrints ID: 500796
URI: http://eprints.soton.ac.uk/id/eprint/500796
ISSN: 1751-8601
PURE UUID: f760dc63-3309-46fd-9ee4-277b6af12aec
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Date deposited: 13 May 2025 16:51
Last modified: 14 May 2025 02:05
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Contributors
Author:
Mark Vousden
Author:
Graeme Mclachlan Bragg
Author:
David Barrie Thomas
Author:
Andrew Brown
Author:
Jordan Morris
Author:
Jonathan R. Beaumont
Author:
Ashur Rafiev
Author:
Wayne Luk
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