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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Bibliographic Details
Published in2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) pp. 251 - 264
Main Authors Wu, Lingxi, Sharifi, Rasool, Lenjani, Marzieh, Skadron, Kevin, Venkat, Ashish
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2021
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