DocumentCode :
167292
Title :
Bohrium: A Virtual Machine Approach to Portable Parallelism
Author :
Kristensen, Mads R. B. ; Lund, Simon A. F. ; Blum, Troels ; Skovhede, Kenneth ; Vinter, Brian
Author_Institution :
Niels Bohr Inst., Univ. of Copenhagen, Copenhagen, Denmark
fYear :
2014
fDate :
19-23 May 2014
Firstpage :
312
Lastpage :
321
Abstract :
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.
Keywords :
C language; parallel processing; virtual machines; Black Sholes; Bohrium; C# language; C++ language; N-body; Python language; Shallow Water; portable parallelism; vector operation mapping; virtual machine; Arrays; Bridges; Hardware; Libraries; Mathematical model; Programming; Vectors; GPU; Heterogeneous Computing; High-Productivity; Parallel Programming Environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel & Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE International
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4799-4117-9
Type :
conf
DOI :
10.1109/IPDPSW.2014.44
Filename :
6969406
Link To Document :
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