The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster
UTP High Performance Computing Cluster (HPCC) is a collection of computing nodes using commercially available hardware interconnected within a network to communicate among the nodes. This campus wide cluster is used by researchers from internal UTP and external parties to compute intensive applicati...
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my-utp-utpedia.159892017-01-25T09:35:47Z http://utpedia.utp.edu.my/15989/ The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster Wong , Chun Shiang T Technology (General) UTP High Performance Computing Cluster (HPCC) is a collection of computing nodes using commercially available hardware interconnected within a network to communicate among the nodes. This campus wide cluster is used by researchers from internal UTP and external parties to compute intensive applications. However, the HPCC has never been benchmarked before. It is imperative to carry out a performance study to measure the true computing ability of this cluster. This project aims to test the performance of a campus wide computing cluster using a selected benchmarking tool, the High Performance Linkpack (HPL). HPL is selected as a result of comparative studies and analysis with other HPC performance benhmarking tool. The optimal configuration of parameters of the HPL benchmark will be determined and run in the cluster to obtain the best performance. Through this research project, it is the hope of the author that the outcome of this research project will help to determine the peak potential performance of the computing cluster IRC 2015-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/15989/1/Wong%20Chun%20Shiang_16138.pdf Wong , Chun Shiang (2015) The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster. IRC, Universiti Teknologi PETRONAS. (Unpublished) |
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T Technology (General) Wong , Chun Shiang The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster |
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UTP High Performance Computing Cluster (HPCC) is a collection of computing nodes using commercially available hardware interconnected within a network to communicate among the nodes. This campus wide cluster is used by researchers from internal UTP and external parties to compute intensive applications. However, the HPCC has never been benchmarked before. It is imperative to carry out a performance study to measure the true computing ability of this cluster.
This project aims to test the performance of a campus wide computing cluster using a selected benchmarking tool, the High Performance Linkpack (HPL). HPL is selected as a result of comparative studies and analysis with other HPC performance benhmarking tool. The optimal configuration of parameters of the HPL benchmark will be determined and run in the cluster to obtain the best performance.
Through this research project, it is the hope of the author that the outcome of this research project will help to determine the peak potential performance of the computing cluster |
format |
Final Year Project |
author |
Wong , Chun Shiang |
author_facet |
Wong , Chun Shiang |
author_sort |
Wong , Chun Shiang |
title |
The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster |
title_short |
The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster |
title_full |
The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster |
title_fullStr |
The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster |
title_full_unstemmed |
The High Performance Linpack (HPL) Benchmark Evaluation on UTP High Performance Computing Cluster |
title_sort |
high performance linpack (hpl) benchmark evaluation on utp high performance computing cluster |
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IRC |
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2015 |
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http://utpedia.utp.edu.my/15989/1/Wong%20Chun%20Shiang_16138.pdf http://utpedia.utp.edu.my/15989/ |
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1739832202124853248 |
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13.211869 |