Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment-Reference-Cited by-同舟云学术

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Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment

Published:2023-03 Issue:1 Volume:13 Page:332-343
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Zhang Fan¹^ORCID,Angizi Shaahin²^ORCID,Sun Jiao³,Zhang Wei³^ORCID,Fan Deliang¹^ORCID

Affiliation:

1. School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA

2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

3. Department of Computer Science, University of Central Florida, Orlando, FL, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/5503868/10078357/10034770-aam.pdf

Reference59 articles.

1. A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks

2. Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach?

3. Leveraging FPGAs for Accelerating Short Read Alignment

4. RowHammer: A Retrospective

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A 65-nm RRAM Compute-in-Memory Macro for Genome Processing;IEEE Journal of Solid-State Circuits;2024-07

2. A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment;ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC);2023-09-11

3. Guest Editorial Unconventional Computing Techniques for Emerging Technology Applications;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-03

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