RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator

The longest common subsequence (LCS) is an essential technique in the sequence alignment. By deleting zero or more symbols, it determines one of the longest subsequences in a sequence. This paper described a simulation of the algorithm using the EduMIPS64 and MIPSers simulators where the latter impl...

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Main Authors: Gara, Glenn Paul P., Pacot, Mark Phil B., Uy, Roger Luis
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3633
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4635/type/native/viewcontent/TENCON.2018.8650369
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-46352022-08-30T02:31:29Z RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator Gara, Glenn Paul P. Pacot, Mark Phil B. Uy, Roger Luis The longest common subsequence (LCS) is an essential technique in the sequence alignment. By deleting zero or more symbols, it determines one of the longest subsequences in a sequence. This paper described a simulation of the algorithm using the EduMIPS64 and MIPSers simulators where the latter implements the most recent developments of MIPS64 instruction sets. The method applied to solve the LCS in this study was the first known solution invented by Wagner and Fischer. The authors programmed the LCS on a RISC architecture and evaluated the results of the test cases by observing the number of clock cycles performed through the simulators. Results show that the MIPSers executed the least number of clock cycles compared to the EduMIPS64 simulator. © 2018 IEEE. 2019-02-22T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3633 info:doi/10.1109/TENCON.2018.8650369 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4635/type/native/viewcontent/TENCON.2018.8650369 Faculty Research Work Animo Repository Reduced instruction set computers Computer Sciences
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Reduced instruction set computers
Computer Sciences
spellingShingle Reduced instruction set computers
Computer Sciences
Gara, Glenn Paul P.
Pacot, Mark Phil B.
Uy, Roger Luis
RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator
description The longest common subsequence (LCS) is an essential technique in the sequence alignment. By deleting zero or more symbols, it determines one of the longest subsequences in a sequence. This paper described a simulation of the algorithm using the EduMIPS64 and MIPSers simulators where the latter implements the most recent developments of MIPS64 instruction sets. The method applied to solve the LCS in this study was the first known solution invented by Wagner and Fischer. The authors programmed the LCS on a RISC architecture and evaluated the results of the test cases by observing the number of clock cycles performed through the simulators. Results show that the MIPSers executed the least number of clock cycles compared to the EduMIPS64 simulator. © 2018 IEEE.
format text
author Gara, Glenn Paul P.
Pacot, Mark Phil B.
Uy, Roger Luis
author_facet Gara, Glenn Paul P.
Pacot, Mark Phil B.
Uy, Roger Luis
author_sort Gara, Glenn Paul P.
title RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator
title_short RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator
title_full RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator
title_fullStr RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator
title_full_unstemmed RISC-based simulation of longest common subsequence algorithm in MIPS64 simulator
title_sort risc-based simulation of longest common subsequence algorithm in mips64 simulator
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/3633
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4635/type/native/viewcontent/TENCON.2018.8650369
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