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2011
ACM

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

8 years 6 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typical MATLAB programs have abundant data parallelism. These programs also have control flow dominated scalar regions that have an impact on the program’s execution time. Today’s computer systems have tremendous computing power in the form of traditional CPU cores and throughput oriented accelerators such as graphics processing units(GPUs). Thus, an approach that maps the control flow dominated regions to the CPU and the data parallel regions to the GPU can significantly improve program performance. In this paper, we present the design and implementation of MEGHA, a compiler that automatically compiles MATLAB programs to enable synergistic execution on heterogeneous processors. Our solution is fully automated and does not require programmer input for identifying data parallel regions. We propose a set of...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where PLDI
Authors Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
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