Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published July 9, 2023 | Version v1
Conference paper Open

Accelerating Genome Analysis via Algorithm-Architecture Co-Design

  • 1. ETH Zurich

Description

High-throughput sequencing (HTS) technologies have revolutionized the field of genomics, enabling rapid and cost-effective genome analysis for various applications. However, the increasing volume of genomic data generated by HTS technologies presents significant challenges for computational techniques to effectively analyze genomes. To address these challenges, several algorithm-architecture co-design works have been proposed, targeting different steps of the genome analysis pipeline. These works explore emerging technologies to provide fast, accurate, and low-power genome analysis. This paper provides a brief review of the recent advancements in accelerating genome analysis, covering the opportunities and challenges associated with the acceleration of the key steps of the genome analysis pipeline. Our analysis highlights the importance of integrating multiple steps of genome analysis using suitable architectures to unlock significant performance improvements and reduce data movement and energy consumption. We conclude by emphasizing the need for novel strategies and techniques to address the growing demands of genomic data generation and analysis.

Notes

In Proceedings of the 60th Design Automation Conference (DAC), Jul 2023

Files

Mutlu2023dac.pdf

Files (170.2 kB)

Name Size Download all
md5:89e5d197a09bc00a3494556bc8ba7e49
170.2 kB Preview Download

Additional details

Funding

BioPIM – Processing-in-memory architectures and programming libraries for bioinformatics algorithms 101047160
European Commission