Multicore and GPU Algorithms for Nussinov RNA Folding.

Junjie Li, Sanjay Ranka, Sartaj Sahni
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Abstract

We develop cache efficient, multicore, and GPU algorithms for RNA folding using Nussinov's equations. Our cache efficient algorithm provides a speedup between 1.6 and 3.0 relative to a naive straightforward single core code. The multicore version of the cache efficient single core algorithm provides a speedup, relative to the naive single core algorithm, between 7.5 and 14.0 on a 6 core hyperthreaded CPU. Our GPU algorithm for the NVIDIA C2050 is up to 1582 times as fast as the naive single core algorithm and between 5.1 and 11.2 times as fast as the fastest previously known GPU algorithm for Nussinov RNA folding.

Nussinov RNA折叠的多核和GPU算法。
我们开发了缓存高效,多核,GPU算法RNA折叠使用Nussinov的方程。相对于简单的单核代码,我们的缓存高效算法提供了1.6到3.0之间的加速。相对于简单的单核算法,多核版本的缓存高效单核算法在6核超线程CPU上提供了7.5到14.0之间的加速。我们针对NVIDIA C2050的GPU算法比单纯的单核算法快1582倍,比以前已知的Nussinov RNA折叠最快的GPU算法快5.1到11.2倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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