Abstract
This paper demonstrates translation schemes by which programs written in a functional subset of APL can be compiled to code that is run efficiently on general purpose graphical processing units (GPGPUs). Furthermore, the generated programs can be straight-forwardly interoperated with mainstream programming environments, such as Python, for example for purposes of visualization and user interaction. Finally, empirical evaluation shows that the GPGPU translation achieves speedups up to hundreds of times faster than sequential C compiled code.
Originalsprog | Engelsk |
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Titel | Proceedings of the 5th International Workshop on Functional High-Performance Computing |
Antal sider | 6 |
Forlag | Association for Computing Machinery |
Publikationsdato | 2016 |
Sider | 38-43 |
ISBN (Elektronisk) | 978-1-4503-4433-3 |
DOI | |
Status | Udgivet - 2016 |
Begivenhed | International Workshop on Functional High-Performance Computing - Nara, Japan Varighed: 22 sep. 2016 → 22 sep. 2016 Konferencens nummer: 5 https://sites.google.com/site/fhpcworkshops/ |
Workshop
Workshop | International Workshop on Functional High-Performance Computing |
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Nummer | 5 |
Land/Område | Japan |
By | Nara |
Periode | 22/09/2016 → 22/09/2016 |
Internetadresse |