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An Analysis on Scalable GPU Implementation of Minimap2 for Long Read Alignment

EasyChair Preprint 10933

5 pagesDate: September 21, 2023

Abstract

Scalability is a paramount requirement in genomics research, especially when dealing with large and complex genomic datasets. In this article, we explore the development of scalable GPU (Graphics Processing Unit) implementations of Minimap2, a versatile tool for long read alignment. These scalable implementations empower efficient and accurate alignment of long reads to reference genomes, facilitating the analysis of extensive genomic datasets.

Keyphrases: CPU, GPU, acceleration

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:10933,
  author    = {Smith Milson and Kurez Oroy},
  title     = {An Analysis on Scalable GPU Implementation of Minimap2 for Long Read Alignment},
  howpublished = {EasyChair Preprint 10933},
  year      = {EasyChair, 2023}}
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