THE HIGH PERFORMANCE LINPACK (HPL) BENCHMARK EVALUATION ON UTP HIGH PERFORMANCE CLUSTER COMPUTING

Authors

  • Wong Chun Shiang
  • Izzatdin Abdul Aziz Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Tronoh, Perak Darul Ridzuan, Malaysia
  • Nazleeni Samiha Haron Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Tronoh, Perak Darul Ridzuan, Malaysia
  • Jafreezal Jaafar Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Tronoh, Perak Darul Ridzuan, Malaysia
  • Norzatul Natrah Ismail Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Tronoh, Perak Darul Ridzuan, Malaysia
  • Mazlina Mehat Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Tronoh, Perak Darul Ridzuan, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.9715

Keywords:

Benchmarking, cluster computing, high performance LINPAC (HPL), NAS parallel

Abstract

Universiti Teknologi PETRONAS (UTP) has formed a high performance computing cluster (HPCC) inside the campus by utilizing most of the campus’ existing resources as the computing resources. All the resources are interconnected within a same network, enabling it to be accessed by users anywhere anytime within and outside the campus. The UTP HPCC is used by researchers, including lecturers and students from UTP also from external parties to compute intensive applications. However, the UTP HPCC has never been benchmarked before, hence the performance and the ability of UTP HPCC are still unverified. The benchmarking is imperative in order to measure the true performance and the ability of UTP HPCC. This paper aims to evaluate the performance of UTP HPCC using a suitable benchmarking tool as well as to determine the optimal parameters configuration of the selected benchmarking tool. A comparative study has been done in order to select the best benchmarking tool between High performance LINPACK (HPL) and the NAS Parallel. The results show that HPL is a more suitable benchmarking tool for UTP HPCC compared to NAS Parallel. A series of experiments were carried out to select the optimum parameter of HPL configuration for UTP HPCC. The results from benchmarking show that the peak performance is achievable under the test conditions.

References

El-Rewini, H. and Abd-El-Barr, M. 2005. Advanced Computer Architecture and Parallel Processing. John Wiley & Sons Inc.

Sterling, T. 2001. An Introduction To PC Clusters For High Performance Computing. International Journal of High Performance Computing Applications. 15(2): 92-101.

Bakery, M. and Buyyaz, R. 1999. Cluster Computing At A Glance. High Performance Cluster Computing: Architectures and Systems. 1: 3-47.

Barney, B. 2012. Introduction To Parallel Computing, Lawrence Livermore National Laboratory.

Rodgers, D. P. 1985, June. Improvements In Multiprocessor System Design. In ACM SIGARCH Computer Architecture News ). IEEE Computer Society Press. 13(3): 225-231.

Dongarra, J. J., Bunch, J. R., Moler, C. B. and Stewart, G. W. 1979. LINPACK Users' Guide. Siam.

Dongarra, J. J. 1988. The LINPACK Benchmark: An Explanation. Supercomputing. Springer Berlin Heidelberg. 456-474.

Dongarra, J. J., Luszczek, P. and Petitet, A. 2003. The LINPACK Benchmark: Past, Present And Future. Concurrency And Computation: Practice And Experience. 15(9): 803-820.

Petitet, A., Whaley, R. C., Dongarra, J. and Cleary, A. 2005. HPL–A Portable Implementation Of The High–Performance Linpack Benchmark For Distributed–Memory Computers, 2008. Available from Internet:< http://www. netlib. org/benchmark/hpl.

Jelas, I.M., Hamid, N.A.W.A. and Othman, M., 2013. The High Performance Linpack (HPL) Benchmark on the Khaldun Sandbox Cluster.

Bailey, D. H., Barszcz, E., Barton, J. T., Browning, D. S., Carter, R. L., Dagum, L., Fatoohi, R. A., Frederickson, P. O., Lasinski, T. A., Schreiber, R. S. and Simon, H. D. 1991. The NAS Parallel Benchmarks. International Journal of High Performance Computing Applications. 5(3): 63-73.

Grün, T. and Hillebrand, M. A. 1998, September. NAS Integer Sort On Multi-Threaded Shared Memory Machines. In Euro-Par’98 Parallel Processing. Springer Berlin Heidelberg. 999-1009.

Strohmaier, E., Meuer, H. W., Dongarra, J. and Simon, H. D. 2015. The TOP500 List and Progress in High-Performance Computing. Computer. (11): 42-49.

Microsoft. (n.d., 24 February). Building and Measuring the Performance of Windows HPC Server 2008-Based Clusters for TOP 500 Runs. Available: http://go.microsoft.com/fwlink/?LinkId=134483.

Yeo, C. S., Buyya, R., Pourreza, H., Eskicioglu, R., Graham, P. and Sommers, F. 2006. Cluster Computing: High-Performance, High-Availability, And High-Throughput Processing On A Network Of Computers. Handbook Of Nature-Inspired And Innovative Computing. Springer US. 521-551.

Downloads

Published

2016-09-28

How to Cite

THE HIGH PERFORMANCE LINPACK (HPL) BENCHMARK EVALUATION ON UTP HIGH PERFORMANCE CLUSTER COMPUTING. (2016). Jurnal Teknologi (Sciences & Engineering), 78(9-3). https://doi.org/10.11113/jt.v78.9715