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Performance analysis of MPI approaches and PThread in multi-core system

Comparison among the HPC techniques has been made in order to address the highest and lowest performance of each in terms of execution time, speedup and efficiency when it is used with the HPc multicore system. The matrix multiplication in a variant size is used as a common complex task to examine t...

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Main Authors: Alabboud, Ali A., Hasan, Sazlinah, Abdul Hamid, Nor Asilah Wati, Tuama, Ammar Yaseen
Format: Article
Language:English
Published: Medwell Journals 2017
Online Access:http://psasir.upm.edu.my/id/eprint/62697/1/MPI.pdf
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spelling oai:psasir.upm.edu.my:62697 http://psasir.upm.edu.my/id/eprint/62697/ Performance analysis of MPI approaches and PThread in multi-core system Alabboud, Ali A. Hasan, Sazlinah Abdul Hamid, Nor Asilah Wati Tuama, Ammar Yaseen Comparison among the HPC techniques has been made in order to address the highest and lowest performance of each in terms of execution time, speedup and efficiency when it is used with the HPc multicore system. The matrix multiplication in a variant size is used as a common complex task to examine the performance of each approach. FSKTM server has been used as an HPC multicore system to perform the approaches and tasks. Based on the results, it shows that Hybrid MPI/OpenMP approach is the best in terms of execution time, speed up and efficiency than other approaches when the matrix size is very high (>1024×1024 size). Furthermore, the results show that the compiler version has a significant impact over the performance of Pthread. With a new compiler, the performance becomes much better due to the improvement in code translation. Medwell Journals 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/62697/1/MPI.pdf Alabboud, Ali A. and Hasan, Sazlinah and Abdul Hamid, Nor Asilah Wati and Tuama, Ammar Yaseen (2017) Performance analysis of MPI approaches and PThread in multi-core system. Journal of Engineering and Applied Sciences, 12 (3). pp. 609-616. ISSN 1818-7803; ESSN: 1816-949X https://medwelljournals.com/abstract/?doi=jeasci.2017.609.616 10.36478/jeasci.2017.609.616
institution UPM IR
collection UPM IR
language English
description Comparison among the HPC techniques has been made in order to address the highest and lowest performance of each in terms of execution time, speedup and efficiency when it is used with the HPc multicore system. The matrix multiplication in a variant size is used as a common complex task to examine the performance of each approach. FSKTM server has been used as an HPC multicore system to perform the approaches and tasks. Based on the results, it shows that Hybrid MPI/OpenMP approach is the best in terms of execution time, speed up and efficiency than other approaches when the matrix size is very high (>1024×1024 size). Furthermore, the results show that the compiler version has a significant impact over the performance of Pthread. With a new compiler, the performance becomes much better due to the improvement in code translation.
format Article
author Alabboud, Ali A.
Hasan, Sazlinah
Abdul Hamid, Nor Asilah Wati
Tuama, Ammar Yaseen
spellingShingle Alabboud, Ali A.
Hasan, Sazlinah
Abdul Hamid, Nor Asilah Wati
Tuama, Ammar Yaseen
Performance analysis of MPI approaches and PThread in multi-core system
author_facet Alabboud, Ali A.
Hasan, Sazlinah
Abdul Hamid, Nor Asilah Wati
Tuama, Ammar Yaseen
author_sort Alabboud, Ali A.
title Performance analysis of MPI approaches and PThread in multi-core system
title_short Performance analysis of MPI approaches and PThread in multi-core system
title_full Performance analysis of MPI approaches and PThread in multi-core system
title_fullStr Performance analysis of MPI approaches and PThread in multi-core system
title_full_unstemmed Performance analysis of MPI approaches and PThread in multi-core system
title_sort performance analysis of mpi approaches and pthread in multi-core system
publisher Medwell Journals
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/62697/1/MPI.pdf
_version_ 1819298191604973568
score 13.4562235

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