Optimizing Dynamic Time Warping on GPUs for Nanopore Sequencing

EasyChair Preprint 10936

Abstract

Dynamic Time Warping (DTW) is a computational technique used in various fields, including signal processing, speech recognition, and bioinformatics, to measure the similarity between two time series by aligning them optimally in a non-linear manner. DTW calculations can be computationally intensive, especially when dealing with large time series datasets. Accelerating DTW calculations on GPUs can significantly speed up the process

Keyphrases: CPU, GPU, computing

@booklet{EasyChair:10936,
  author    = {Chen Li and Kurez Oroy},
  title     = {Optimizing Dynamic Time Warping on GPUs for Nanopore Sequencing},
  howpublished = {EasyChair Preprint 10936},
  year      = {EasyChair, 2023}}