CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

GPUs have recently been used to accelerate data-parallel applications for they provide easier programmability and increased generality while maintaining the tremendous memory bandwidth and computational power. Most of those applications use CPU as a controller who decides when GPUs run the computing...

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Vydané v:	2010 International Conference on High Performance Computing and Simulation s. 24 - 30
Hlavní autori:	Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Yaobin Wang, Wenting Han
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2010
Predmet:	Computer architecture CUDA data-parallel computation Graphics processing unit Hidden Markov models HMMER Kernel load-balanced multi-threaded programming
ISBN:	9781424468270, 1424468272
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