Enabling Highly-Efficient DNA Sequence Mapping via ReRAM-based TCAM

Yu Shao Lai, Shuo Han Chen, Yuan Hao Chang

研究成果: Conference contribution同行評審

摘要

In the post-pandemic era, third-generation DNA sequencing (TGS) has received increasing attention from both academics and industries. As TGS technologies have become a requisite for extracting DNA sequences, the DNA sequence mapping, which is the most basic bioinformatics application and the core of polymerase chain reaction (PCR) tests, receives great challenges, due to the large size and noisy nature of TGS technologies. In addition, the ever-increasing data volume of DNA sequences also induces the issue of memory wall while large datasets are moved between the memory and the computing units. However, much less effort has been devoted to DNA sequence mapping acceleration while considering both the memory wall issue and the challenges of TGS technologies. To enable highly-efficient DNA sequence mapping, this study proposes a novel resistive random-access memory (ReRAM)-based ternary content-addressable memory (TCAM) and exploits the intrinsic parallelity of ReRAM crossbar for efficient mapping acceleration. Promising results have been demonstrated through a series of experiments with different scales of datasets.

原文English
主出版物標題2023 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350311754
DOIs
出版狀態Published - 2023
事件2023 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2023 - Vienna, 奧地利
持續時間: 7 8月 20238 8月 2023

出版系列

名字Proceedings of the International Symposium on Low Power Electronics and Design
2023-August
ISSN(列印)1533-4678

Conference

Conference2023 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2023
國家/地區奧地利
城市Vienna
期間7/08/238/08/23

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