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ASME Press Select Proceedings
International Conference on Software Technology and Engineering (ICSTE 2012)
Editor
ISBN:
9780791860151
No. of Pages:
680
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
21 Competing Kernal Launch on the GPU Optimally
By
Page Count:
6
-
Published:2012
Citation
Srinivas, B, & Prakash, SR. "Competing Kernal Launch on the GPU Optimally." International Conference on Software Technology and Engineering (ICSTE 2012). Ed. Zhou, J. ASME Press, 2012.
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Thermal and energy constraints are bringing about a paradigm shift in the new age computational revolution. The GPU has become an integral co-processor in the high performance computing domain. The GPU is designed for highly data parallel applications but now NVIDIAs Fermi architecture pioneers concurrent kernel execution and facilitates task parallelism. We analyze the performance of concurrent kernels for various allocations of computational resources and come up with a framework to help up allocate computational resources optimally.
Topics:
Graphics processing units
1. Introduction
2. Background
3. Analysis Framework
4. Experimental Results and Conclusion
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