Parallel Megabase DNA Sequence Comparison with OpenCL

Marco Figueiredo, E. Sandes, A. Melo
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引用次数: 3

Abstract

Biological sequence comparison is a very common task in Bioinformatics applications. Many parallel solutions have been proposed for this problem, using different HPC platforms, programmed usually with platform-specific languages and frameworks. With this approach, it is difficult to port solutions among different platforms such as CPUs and GPUs, for instance. To tackle this problem, this paper proposes and evaluates an OpenCL parallel solution for Biological Sequence Comparison, which was integrated to the CUDAlign Megabase Sequence Comparison tool. The evaluation of our solution shows we were able to obtain a program for CPUs and GPUs (NVidia and AMD) with basically the same OpenCL code. In addition, in the comparison with SW# and CUDAlign optimized CUDA codes, we show that the performance of our OpenCL version has comparable and, many times, superior performance.
基于OpenCL的并行百万碱基DNA序列比较
生物序列比对是生物信息学应用中非常常见的一项任务。针对这个问题,已经提出了许多并行解决方案,使用不同的HPC平台,通常使用特定于平台的语言和框架进行编程。使用这种方法,很难在不同的平台(例如cpu和gpu)之间移植解决方案。为了解决这个问题,本文提出并评估了一个OpenCL生物序列比较并行解决方案,该方案集成到CUDAlign兆基序列比较工具中。对我们的解决方案的评估表明,我们能够使用基本相同的OpenCL代码获得cpu和gpu (NVidia和AMD)的程序。此外,在与sw#和CUDAlign优化的CUDA代码的比较中,我们表明我们的OpenCL版本的性能具有相当的性能,并且在很多时候具有更高的性能。
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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