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Event‐based high throughput computing: A series of case studies on a massively parallel softcore machine

Authors :
Mark Vousden
Jordan Morris
Graeme McLachlan Bragg
Jonathan Beaumont
Ashur Rafiev
Wayne Luk
David Thomas
Andrew Brown
Source :
IET Computers & Digital Techniques, Vol 17, Iss 1, Pp 29-42 (2023)
Publication Year :
2023
Publisher :
Hindawi-IET, 2023.

Abstract

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.

Details

Language :
English
ISSN :
1751861X and 17518601
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
IET Computers & Digital Techniques
Publication Type :
Academic Journal
Accession number :
edsdoj.82d108331cbc4692b358a5cb24a5fac3
Document Type :
article
Full Text :
https://doi.org/10.1049/cdt2.12051