Jan 29, 2024 · GPUSW consists of three parts: (a) calculation of pairwise sequence alignment with single warp, (b) communication optimization using shuffle ...
However, the Smith-Waterman algorithm has high time and space complexity making the process of high-throughput sequence alignment very time-consuming.
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... Smith Waterman algorithm and helps in accelerating the performance of sequence alignment using GPU. ... high accuracy and high throughput Nucleic Acids ...
Oct 25, 2019 · The library provides high performance APIs for local, global and semi-global alignment that can be easily integrated into various bioinformatics ...
An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases. Proceedings of the 23rd ...
Missing: throughput | Show results with:throughput
Jan 22, 2016 · In this paper, we present swGPUCluster – an implementation of the Smith-Waterman algorithm on a cluster equipped with NVIDIA GPU graphics cards ...
May 18, 2012 · Pankaj Gupta's new program Swift helps accelerate the sequence alignment process on the GPU. He chose to implement the Smith-Waterman algorithm ...
Missing: throughput | Show results with:throughput
GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data ... Gotoh, O.: An improved algorithm for matching biological sequences.
... Smith Waterman algorithm and helps in accelerating the performance of sequence alignment using GPU. This paper describes the parallel implementation of sequence ...
Implementation of Smith-Waterman (SW) algorithm on the Graphics Processing Unit (GPU) with parallel scan approach, aiming to accelerate SW alignment is ...