Title of article
Implementation of hyyrö’s bit-vector algorithm using advanced vector extensions 2
Author/Authors
Chua , Kyle Matthew Chan Computer Technology Department - College of Computer Studies - De La Salle University - Manila, Philippines , Villamayor , Janz Aeinstein Fauni Computer Technology Department - College of Computer Studies - De La Salle University - Manila, Philippines , Bautista, Lorenzo Campos Computer Technology Department - College of Computer Studies - De La Salle University - Manila, Philippines , Uy , Roger Luis Computer Technology Department - College of Computer Studies - De La Salle University - Manila, Philippines
Pages
13
From page
230
To page
242
Abstract
The Advanced Vector Extensions 2 (AVX2) instruction set architecture was introduced by Intel’s Haswell microarchitecture that features improved processing power, wider vector registers, and a rich instruction set. This study presents an implementation of the Hyyrö’s bit-vector algorithm for pairwise Deoxyribonucleic Acid (DNA) sequence alignment that takes advantage of Single-Instruction-Multiple-Data (SIMD) computing capabilities of AVX2 on modern processors. It investigated the effects of the length of the query and reference sequences to the I/O load time, computation time, and memory consumption. The result reveals that the experiment has achieved an I/O load time of ϴ(n), computation time of ϴ(n*⌈m/64⌉), and memory consumption of ϴ(n). The implementation computed more extended time complexity than the expected ϴ(n) due to instructional and architectural limitations. Nonetheless, it was par with other experiments, in terms of computation time complexity and memory consumption.
Keywords
Modern processors , SIMD computing capabilities , Bit-vector algorithm , Biometrics , DNA sequence alignment
Journal title
International Journal of Advances in Intelligent Informatics
Serial Year
2019
Record number
2601020
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