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FPGA-based protein sequence alignment: A review

机译:基于FPGA的蛋白质序列对齐:综述

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摘要

Sequence alignment have been optimized using several techniques in order to accelerate the computation time to obtain the optimal score by implementing DP-based algorithm into hardware such as FPGA-based platform. During hardware implementation, there will be performance challenges such as the frequent memory access and highly data dependent in computation process. Therefore, investigation in processing element (PE) configuration where involves more on memory access in load or access the data (substitution matrix, query sequence character) and the PE configuration time will be the main focus in this paper. There are various approaches to enhance the PE configuration performance that have been done in previous works such as by using serial configuration chain and parallel configuration chain i.e. the configuration data will be loaded into each PEs sequentially and simultaneously respectively. Some researchers have proven that the performance using parallel configuration chain has optimized both the configuration time and area.
机译:通过多种技术优化了序列对准,以便通过将基于DP的算法实现为基于FPGA的平台的硬件来加速计算时间来获得最佳分数。在硬件实现中,将存在性能挑战,例如频繁的内存访问和依赖于计算过程的高度数据。因此,在加工元件(PE)配置中的调查在负载或访问数据(替换矩阵,查询序列字符)和PE配置时间中涉及更多关于内存访问的配置,并且是本文的主要焦点。有各种方法可以增强在以前的作品中完成的PE配置性能,例如通过使用串行配置链和并行配置链I.E。配置数据将分别顺序和同时加载到每个PE中。一些研究人员已证明使用并行配置链的性能已经优化了配置时间和区域。

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