bibench:生物信息学应用的基准套件

K. Albayraktaroglu, A. Jaleel, Xue Wu, Manoj Franklin, Bruce Jacob, C. Tseng, Donald Yeung
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引用次数: 150

摘要

生物信息学的最新进展和研究人员可用的计算能力的显著提高,使得更好地利用过去二十年来收集的大量遗传数据成为可能。随着基因数据的使用扩展到包括药物发现和基于基因的疗法的发展,生物信息学注定要在科学计算应用领域的前沿占有一席之地。尽管这一领域的重要性显而易见,但到目前为止,普通生物信息学应用及其对微体系结构设计的影响尚未得到计算机体系结构社区的重视。一套共同的生物信息学基准的可用性可能是激励这一关键领域进一步研究的第一步。为此,本文介绍了bibench,这是一个代表多种生物信息学应用的基准套件。bibench的第一个版本包括来自不同应用领域的应用,特别强调成熟的基因组学应用。简要介绍了在基准测试中的应用,并给出了在实际处理器上获得的基本执行特性。与SPEC INT和SPEC FP基准测试相比,bibench中的应用程序显示更高百分比的加载/存储指令,几乎可以忽略不计的浮点操作内容,以及比SPEC INT或SPEC FP应用程序更高的IPC。我们的评估表明,生物信息学应用与上述两个SPEC套件的应用具有明显不同的特征;我们的研究结果表明,生物信息学工作负载可以从内存带宽的架构改进和利用其高水平ILP的技术中受益。整个bibench套件和附带的参考数据将免费提供给研究人员
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BioBench: A Benchmark Suite of Bioinformatics Applications
Recent advances in bioinformatics and the significant increase in computational power available to researchers have made it possible to make better use of the vast amounts of genetic data that has been collected over the last two decades. As the uses of genetic data expand to include drug discovery and development of gene-based therapies, bioinformatics is destined to take its place in the forefront of scientific computing application domains. Despite the clear importance of this field, common bioinformatics applications and their implication on microarchitectural design have received scant attention from the computer architecture community so far. The availability of a common set of bioinformatics benchmarks could be the first step to motivate further research in this crucial area. To this end, this paper presents BioBench, a benchmark suite that represents a diverse set of bioinformatics applications. The first version of BioBench includes applications from different application domains, with a particular emphasis on mature genomics applications. The applications in the benchmark are described briefly, and basic execution characteristics obtained on a real processor are presented. Compared to SPEC INT and SPEC FP benchmarks, applications in BioBench display a higher percentage of load/store instructions, almost negligible floating-point operation content, and higher IPC than either SPEC INT or SPEC FP applications. Our evaluation suggests that bioinformatics applications have distinctly different characteristics from the applications in both of the mentioned SPEC suites; and our findings indicate that bioinformatics workloads can benefit from architectural improvements to memory bandwidth and techniques that exploit their high levels of ILP. The entire BioBench suite and accompanying reference data will be made freely available to researchers
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