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Bioinformatics on Embedded Systems: A Case Study of Computational Biology Applications on VLIW Architecture

机译:嵌入式系统的生物信息学 - 以VLIW架构计算生物学应用为例

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Bioinformatics applications represent the increasingly important workloads. Their characteristics and implications on the underlying hardware design, however, are largely unknown. Currently, biological data processing ubiquitously relies on the high-end systems equipped with expensive, general-purpose processors. The future generation of bioinformatics requires the more flexible and cost-effective computing platforms to meet its rapidly growing market. The programmable, application-specific embedded systems appear to be an attractive solution in terms of easy of programming, design cost, power, portability and time-to-market. The first step towards such systems is to characterize bioinformatics applications on the target architecture. Such studies can help in understanding the design issues and the trade-offs in specializing hardware and software systems to meet the needs of bioinformatics market. This paper evaluates several representative bioinformatics tools on the VLIW based embedded systems. We investigate the basic characteristics of the benchmarks, impact of function units, the efficiency of VLIW execution, cache behavior and the impact of compiler optimizations. The architectural implications observed from this study can be applied to the design optimizations. To the best of our knowledge, this is one of the first such studies that have ever been attempted.
机译:生物信息学应用代表了越来越重要的工作负载。然而,它们对底层硬件设计的特点和影响在很大程度上是未知数。目前,普遍存在的生物数据处理依赖于配备昂贵的通用处理器的高端系统。未来生物信息学的一代需要更灵活且具有成本效益的计算平台,以满足其快速增长的市场。可编程的应用程序特定的嵌入式系统似乎是一个有吸引力的解决方案,方便的编程,设计成本,电力,便携性和上市时间。迈向此类系统的第一步是在目标架构上表征生物信息学应用。这些研究可以帮助了解专业硬件和软件系统中的设计问题和权衡,以满足生物信息系统市场的需求。本文在基于VLIW的嵌入式系统上评估了几种代表性生物信息学工具。我们调查基准,功能单元的基本特征,函数单位的影响,VLIW执行的效率,缓存行为和编译器优化的影响。从本研究中观察到的建筑含义可以应用于设计优化。据我们所知,这是曾经尝试过的第一个这样的研究之一。

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