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GTC ON-DEMAND

Tools & Libraries
Presentation
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Mint: An OpenMP to CUDA Translator
Speakers:
Didem Unat
- University of California, San Diego
Abstract:
We aim to facilitate GPU programming for finite difference applications. We have developed Mint, a source to source compiler to generate CUDA code from OpenMP code. Mint transforms omp parallel for loops into CUDA kernels and applies domain specific optimizations such as shared memory, register and kernel fuse optimizations. Since our translator targets structured grid problems, it optimizes the code better than the general purpose compilers. In this poster, we present translation and optimization steps along with our initial performance results.
 
Topics:
Tools & Libraries
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10U01
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