@inproceedings{9f43cb6b153b4c56b811d7d85c36bd47,
title = "RePAIR: A ReRAM-based Processing-in-Memory Accelerator for Indel Realignment",
abstract = "Genomic analysis has attracted a lot of interest recently since it is the key to realizing precision medicine for diseases such as cancer. Among all the genomic analysis pipeline stages, Indel Realignment is the most time-consuming and induces intensive data movements. Thus, we propose RePAIR, the first ReRAM-based processing-in-memory accelerator targeting the Indel Realignment algorithm. To further increase the computation parallelism, we design several mapping and scheduling optimization schemes. RePAIR achieves 7443× speedup and is 27211× more energy efficient over the GATK3.8 running on a CPU server, significantly outperforming the state-of-the-art.",
author = "Ting Wu and Nien, {Chin Fu} and Chou, {Kuang Chao} and Cheng, {Hsiang Yun}",
note = "Publisher Copyright: {\textcopyright} 2022 EDAA.; 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 ; Conference date: 14-03-2022 Through 23-03-2022",
year = "2022",
doi = "10.23919/DATE54114.2022.9774715",
language = "English",
series = "Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "400--405",
editor = "Cristiana Bolchini and Ingrid Verbauwhede and Ioana Vatajelu",
booktitle = "Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022",
address = "美國",
}
