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Performance and bandwidth optimization for biological sequence alignment

机译:生物序列比对的性能和带宽优化

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Sequence alignment is an essential, but compute-intensive application in Bioinformatics. Hardware implementation speeds up this application by exploiting its inherent parallelism, where the performance of the hardware depends on its capability to align long sequences. In hardware terms, the length of a biological query sequence that can be aligned against a database sequence depends on the number of Processing Elements (PEs) available, which in turn depends on the amount of available hardware resources. In addition, the amount of available bandwidth to transfer the data processed by these PEs plays a significant role in defining the maximum performance. In this paper, we carry out a detailed performance and bandwidth analysis for biological sequence alignment and formulate theoretical performance boundaries for various cases. Further, we optimize the performance gain and memory bandwidth requirements and develop generalized equations for this optimization.
机译:序列比对是生物信息学中必不可少的但计算量很大的应用。硬件实现通过利用其固有的并行性来加快此应用程序的速度,其中硬件的性能取决于其对齐长序列的能力。用硬件术语来说,可以与数据库序列比对的生物学查询序列的长度取决于可用的处理元素(PE)的数量,而后者又取决于可用的硬件资源的数量。此外,用于传输这些PE处理的数据的可用带宽量在定义最高性能方面也起着重要作用。在本文中,我们对生物序列比对进行了详细的性能和带宽分析,并针对各种情况制定了理论性能边界。此外,我们优化了性能增益和内存带宽要求,并为该优化开发了广义方程。

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