Wirawan Adrianto, Kwoh Chee Keong, Hieu Nim Tri, Schmidt Bertil
School of Computer Engineering, Nanyang Technological University, Singapore.
BMC Bioinformatics. 2008 Sep 17;9:377. doi: 10.1186/1471-2105-9-377.
The exponential growth of available biological data has caused bioinformatics to be rapidly moving towards a data-intensive, computational science. As a result, the computational power needed by bioinformatics applications is growing exponentially as well. The recent emergence of accelerator technologies has made it possible to achieve an excellent improvement in execution time for many bioinformatics applications, compared to current general-purpose platforms. In this paper, we demonstrate how the PlayStation 3, powered by the Cell Broadband Engine, can be used as a computational platform to accelerate the Smith-Waterman algorithm.
For large datasets, our implementation on the PlayStation 3 provides a significant improvement in running time compared to other implementations such as SSEARCH, Striped Smith-Waterman and CUDA. Our implementation achieves a peak performance of up to 3,646 MCUPS.
The results from our experiments demonstrate that the PlayStation 3 console can be used as an efficient low cost computational platform for high performance sequence alignment applications.
可用生物数据的指数级增长促使生物信息学迅速朝着数据密集型计算科学发展。因此,生物信息学应用所需的计算能力也在呈指数级增长。与当前的通用平台相比,加速器技术的最新出现使得许多生物信息学应用的执行时间能够得到显著改善。在本文中,我们展示了由Cell宽带引擎驱动的PlayStation 3如何用作计算平台来加速史密斯-沃特曼算法。
对于大型数据集,我们在PlayStation 3上的实现与其他实现(如SSEARCH、条纹史密斯-沃特曼和CUDA)相比,运行时间有显著改善。我们的实现达到了高达3646 MCUPS的峰值性能。
我们的实验结果表明,PlayStation 3游戏机可作为用于高性能序列比对应用的高效低成本计算平台。