Event‐based high throughput computing: A series of case studies on a massively parallel softcore machine. Issue 1 (19th December 2022)

• Record Type: Journal Article
• Authors: Vousden, Mark; Morris, Jordan; McLachlan Bragg, Graeme; Beaumont, Jonathan; Rafiev, Ashur; Luk, Wayne; Thomas, David; Brown, Andrew
• Is Part Of: IET computers & digital techniques. Volume 17:Issue 1(2023)
• Page Start: 29
• Page End: 42
• Publication Date: 2022-12-19
• Subjects: computer architecture -- distributed shared memory systems -- electronic engineering computing -- message passing -- multi‐threading -- network‐on‐chip -- parallel architectures -- parallel memories -- parallel processing; Computers -- Periodicals; Digital electronics -- Periodicals; Computer engineering -- Periodicals; Computer architecture -- Periodicals; Computer organization -- Periodicals; 621.39
• DOI: 10.1049/cdt2.12051
• Languages: English
• ISSNs: 1751-8601

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. Abstract : This paper introduces an event‐based computing paradigm, where workers only perform computation in response to external stimuli (events) – this is best employed on the dedicated hardware. Event‐based computing is timely because it provides an alternative to traditional big computing, which suffers from immense infrastructural and power costs. This paper also shows how event‐based computing has been employed to solve certain computing problems orders of magnitude more quickly than the equivalent traditional big computing approach.