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A DNA Read Alignment Accelerator Based on Computational RAM

Zamshed I. Chowdhury, Masoud Zabihi, S. Karen Khatamifard, Zhengyang Zhao, Salonik Resch, Meisam Razaviyayn, Jian‐Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu

2020IEEE Journal on Exploratory Solid-State Computational Devices and Circuits22 citationsDOIOpen Access PDF

Abstract

Recent years have witnessed an increasing interest in the processing-in-memory (PIM) paradigm in computing due to its promise to improve the performance through the reduction of energy-hungry and long-latency memory accesses. Joined with the explosion of data to be processed, produced in genomics - particularly genome sequencing - PIM has become a potential promising candidate for accelerating genomics applications since they do not scale up well in conventional von Neumann systems. In this article, we present an in-memory accelerator architecture for DNA read alignment. This architecture outperforms corresponding software implementation by >49X and >18 000X, in terms of throughput and energy efficiency, respectively, even under conservative assumptions.

Topics & Concepts

Computer scienceComputer architectureVon Neumann architectureEfficient energy useThroughputSoftwareParallel computingArchitectureLatency (audio)Operating systemEngineeringElectrical engineeringTelecommunicationsVisual artsArtWirelessGenomics and Phylogenetic StudiesAdvanced biosensing and bioanalysis techniquesDNA and Biological Computing