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• W144941342 abstract "CUDA is an architecture introduced by NVIDIA Corporation, which allows software developers to take advantage of GPU resources in order to increase the computational power. This paper presents an approach to accelerate the similarity searching of DNA and protein molecules through parallel alignments of their sequences with the use of GPU and CUDA. In order to optimally align two biopolymer sequences, such as amino acid or nucleotide sequences, we employ the Smith-Waterman algorithm. We present the optimization steps leading to achieve a very good efficiency of our implementation on GPU and we compare results of efficiency tests with other known implementations. The results show that it is possible to search bioinformatics databases accurately within a reasonable time." @default.
• W144941342 created "2016-06-24" @default.
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• W144941342 date "2011-01-01" @default.
• W144941342 modified "2023-09-25" @default.
• W144941342 title "Fast and Accurate Similarity Searching of Biopolymer Sequences with GPU and CUDA" @default.
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• W144941342 doi "https://doi.org/10.1007/978-3-642-24650-0_20" @default.
• W144941342 hasPublicationYear "2011" @default.
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