@inproceedings{15fc5b1d8acd4db487924d22222811fb,
title = "A 75.6M Base-pairs/s FPGA Accelerator for FM-index Based Paired-end Short-Read Mapping",
abstract = "Next-generation sequencing (NGS) has been widely applied to genetics research and biomedical applications. It achieves a high sequencing speed by sequencing subsequences (called short-reads) in a massively parallel manner [1]. However, the succeeding data analysis for assembling short-reads still takes a couple of days on CPU and thus becomes the bottleneck. Fig. 1(a) shows the NGS data analysis workflow, consisting of short-read mapping, haplotype & variant calling, and genotype calling. Of these three steps, the execution time is dominated by short-read mapping. A CPU-FPGA heterogeneous system is presented in [2] for accelerating short-read mapping, but the performance improvement is limited. A dedicated FPGA accelerator [3] achieves a higher throughput at a cost of a larger DRAM requirement. Compared to prior arts, this work presents an FPGA accelerator that delivers a 1.7-to-18.6x higher throughput in a memory-efficient way. Paired-end short-read mapping is exploited to achieve the highest 99.3% accuracy on true human DNA.",
author = "Yang, {Chung Hsuan} and Wu, {Yi Chung} and Chen, {Yen Lung} and Lee, {Chao Hsi} and Hung, {Jui Hung} and Yang, {Chia Hsiang}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Asian Solid-State Circuits Conference, A-SSCC 2022 ; Conference date: 06-11-2022 Through 09-11-2022",
year = "2022",
doi = "10.1109/A-SSCC56115.2022.9980714",
language = "English",
series = "2022 IEEE Asian Solid-State Circuits Conference, A-SSCC 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE Asian Solid-State Circuits Conference, A-SSCC 2022 - Proceedings",
address = "United States",
}