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HIPEAC
2011
Springer

A workload-aware mapping approach for data-parallel programs

8 years 7 months ago
A workload-aware mapping approach for data-parallel programs
Much compiler-orientated work in the area of mapping parallel programs to parallel architectures has ignored the issue of external workload. Given that the majority of platforms will not be dedicated to just one task at a time, the impact of other jobs needs to be addressed. As mapping is highly dependent on the underlying machine, a technique that is easily portable across platforms is also desirable. In this paper we develop an approach for predicting the optimal number of threads for a given data-parallel application in the presence of external workload. We achieve 93.7% of the maximum speedup available which gives an av
Dominik Grewe, Zheng Wang, Michael F. P. O'Boyle
Added 23 Dec 2011
Updated 23 Dec 2011
Type Journal
Year 2011
Where HIPEAC
Authors Dominik Grewe, Zheng Wang, Michael F. P. O'Boyle
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