当前位置: X-MOL 学术IEEE Trans. Biomed. Circuits Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
FPGA-Accelerated 3rd Generation DNA Sequencing
IEEE Transactions on Biomedical Circuits and Systems ( IF 5.1 ) Pub Date : 2020-02-01 , DOI: 10.1109/tbcas.2019.2958049
Zhongpan Wu , Karim Hammad , Ebrahim Ghafar-Zadeh , Sebastian Magierowski

DNA measurement machines are undergoing an orders-of-magnitude size and power reduction. As a result, the analysis of genetic molecules is increasingly appropriate for mobile platforms. However, sequencing these measurements (converting to the molecule's A-C-G-T text equivalent) requires intense computing resources, a problem for potential realizations as mobile devices. This paper proposes a step towards addressing this issue, the design and implementation of a low-power real-time FPGA hardware accelerator for the basecalling task of nanopore-based DNA measurements. Key basecalling computations are identified and ported to a custom FPGA which operates in tandem with a CPU across a high-speed serial link and a simple API. A measured speed-up over CPU-only basecalling in excess of 100X is realized with an energy efficiency improvement of three orders of magnitude.

中文翻译:

FPGA加速的第三代DNA测序

DNA测量机正在经历数量级的大小和功耗的降低。结果,遗传分子的分析越来越适合于移动平台。但是,对这些测量进行排序(转换为分子的ACGT文本等效项)需要大量的计算资源,这对于作为移动设备的潜在实现来说是一个问题。本文提出了解决这一问题的步骤,一种低功耗实时FPGA硬件加速器的设计和实现,用于基于纳米孔的DNA测量的基本任务。识别关键的碱基调用计算并将其移植到定制FPGA,该定制FPGA与CPU一起通过高速串行链路和简单的API协同工作。
更新日期:2020-02-01
down
wechat
bug