Bohrium: A virtual machine approach to portable parallelism
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
In this paper we introduce, Bohrium, a runtime-system for mapping vector operations onto a number of different hardware platforms, from simple multi-core systems to clusters and GPU enabled systems. In order to make efficient choices Bohrium is implemented as a virtual machine that makes runtime decisions, rather than a statically compiled library, which is the more common approach. In principle, Bohrium can be used for any programming language but for now, the supported languages are limited to Python, C++ and the. Net framework, e.g. C# and F#. The primary success criteria are to maintain a complete abstraction from low-level details and to provide efficient code execution across different, current and future, processors. We evaluate the presented design through a setup that targets a multi-core CPU, an eight-node Cluster, and a GPU, all preliminary prototypes. The evaluation includes three well-known benchmark applications, Black Sholes, Shallow Water, and N-body, implemented in C++, Python, and C# respectively.
Originalsprog | Engelsk |
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Titel | Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 |
Antal sider | 10 |
Forlag | IEEE Computer Society Press |
Publikationsdato | 27 nov. 2014 |
Sider | 312-321 |
Artikelnummer | 6969406 |
ISBN (Elektronisk) | 9780769552088 |
DOI | |
Status | Udgivet - 27 nov. 2014 |
Begivenhed | 28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 - Phoenix, USA Varighed: 19 maj 2014 → 23 maj 2014 |
Konference
Konference | 28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 |
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Land | USA |
By | Phoenix |
Periode | 19/05/2014 → 23/05/2014 |
Sponsor | IEEE Computer Society Technical Committee on Parallel Processing |
Navn | Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS |
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ISSN | 1530-2075 |
ID: 229371955