Sieve: Scalable In-situ DRAM-based Accelerator Designs for Massively Parallel k-mer Matching
The rapid influx of biosequence data, coupled with the stagnation of the processing power of modern computing systems, highlights the critical need for exploring high-performance accelerators that can meet the ever-increasing throughput demands of modern bioinformatics applications. This work argues...
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Published in | 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) pp. 251 - 264 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2021
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Subjects | |
Online Access | Get full text |
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