BioPerf:一个用于评估生物信息学应用的高性能计算机架构的基准套件

David A. Bader, Yue Li, Tao Li, Vipin Sachdeva
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引用次数: 102

摘要

基因组数据量的指数级增长激发了人们对大规模遗传信息分析的兴趣。生物信息学应用正在成为越来越重要的计算机工作负载,它探索计算方法,使研究人员能够筛选大量的生物数据并提取有用的信息。本文介绍了BioPerf的代表性生物信息学应用程序的基准套件,以促进这些新兴工作负载的高性能计算机架构的设计和评估。目前,BioPerf套件包含来自10个非常流行的生物信息学软件包的代码,涵盖了计算生物学的主要研究领域,如序列比较,系统发育重建,蛋白质结构预测,序列同源性和基因发现。我们通过提供预编译Alpha二进制文件的模拟点来演示BioPerf的使用,并在IBM Power上使用IBM Mambo模拟与Apple G5执行交叉比较进行性能研究。BioPerf套件(可从www.bioperf.org获得)包括基准测试源代码、各种大小的输入数据集以及用于编译和使用基准测试的信息。我们的基准测试套件包括可用的并行代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BioPerf: a benchmark suite to evaluate high-performance computer architecture on bioinformatics applications
The exponential growth in the amount of genomic data has spurred growing interest in large scale analysis of genetic information. Bioinformatics applications, which explore computational methods to allow researchers to sift through the massive biological data and extract useful information, are becoming increasingly important computer workloads. This paper presents BioPerf a benchmark suite of representative bioinformatics applications to facilitate the design and evaluation of high-performance computer architectures for these emerging workloads. Currently, the BioPerf suite contains codes from 10 highly popular bioinformatics packages and covers the major fields of study in computational biology such as sequence comparison, phylogenetic reconstruction, protein structure prediction, and sequence homology & gene finding. We demonstrate the use of BioPerf by providing simulation points of pre-compiled Alpha binaries and with a performance study on IBM Power using IBM Mambo simulations cross-compared with Apple G5 executions. The BioPerf suite (available from www.bioperf.org) includes benchmark source code, input datasets of various sizes, and information for compiling and using the benchmarks. Our benchmark suite includes parallel codes where available.
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