Benchmarking: Performance on ALPS and Formosa Clusters
This paper presents the benchmarking results and
performance evaluation of differentclustersbuilt atthe National Center
for High-Performance Computingin Taiwan. Performance of
processor, memory subsystem andinterconnect is a critical factor in the
overall performance of high performance computing platforms. The
evaluation compares different system architecture and software
platforms. Most supercomputer used HPL to benchmark their system
performance, in accordance with the requirement of the TOP500 List.
In this paper we consider system memory access factors that affect
benchmark performance, such as processor and memory
performance.We hope these works will provide useful information for
future development and construct cluster system.
[1] Chau-Yi Chou, Hsi-Ya Chang, Shuen-Tai Wang, Te-Min Chen, and
Chang-Hsing Wu, "Benchmarking and Performance Analysis on a Blade
Cluster,"The 3rd Workshop on Grid Technologies and Applications
(WoGTA), 2006.
[2] Kuo-Chan Huang, Hsi-Ya Chang, Cherng-YeuShen,Chaur-Yi Cho
andShou-Cheng Tcheng,"Benchmarking and performance evaluation of
NCHC PC cluster,"The Fourth International Conference/Exhibition on
HighPerformance Computing in Asia-Pacific Region (HPC Asia 2000
Conference), pp. 923-928, Beijing, China, May 14-17, 2000.
[3] Chin-Hung Li, Te-Ming Chen, Ying-Chuan Chen, and Shuen-Tai Wang,
"Formosa3: A Cloud-Enabled HPC Cluster in NCHC," International
Conference on Electrical, Computer, Electronics and Communication
Engineering, 2011.
[4] P.J. Mucci and K.S. London, "Low Level Architectural Characterization
Benchmarks for Parallel Computers," Technical Report UT-CS-98-394,
Univ. of Tennessee, 1998.
[5] Douglas M. Pase, "Linpack HPL Performance on IBM eServer 326 and
xSeries 336 Servers," IBM, 2005.
[6] T. Sterling, D. Becker, D. Savareseet. al., "BEOWULF: A
ParallelWorkstation for Scientific Computation," Proc. Of International
Conf: On Parallel Processing (ICPP), August 1995.
[7] HPL, Available at: http://www.netlib.org/benchmark/hpl/.
[8] TOP500 Lists, Available at : http://top500.org
[9] The Message Passing Interface (MPI) standard, Available at:
http://www.mcs.anl.gov/research/projects/mpi/
[1] Chau-Yi Chou, Hsi-Ya Chang, Shuen-Tai Wang, Te-Min Chen, and
Chang-Hsing Wu, "Benchmarking and Performance Analysis on a Blade
Cluster,"The 3rd Workshop on Grid Technologies and Applications
(WoGTA), 2006.
[2] Kuo-Chan Huang, Hsi-Ya Chang, Cherng-YeuShen,Chaur-Yi Cho
andShou-Cheng Tcheng,"Benchmarking and performance evaluation of
NCHC PC cluster,"The Fourth International Conference/Exhibition on
HighPerformance Computing in Asia-Pacific Region (HPC Asia 2000
Conference), pp. 923-928, Beijing, China, May 14-17, 2000.
[3] Chin-Hung Li, Te-Ming Chen, Ying-Chuan Chen, and Shuen-Tai Wang,
"Formosa3: A Cloud-Enabled HPC Cluster in NCHC," International
Conference on Electrical, Computer, Electronics and Communication
Engineering, 2011.
[4] P.J. Mucci and K.S. London, "Low Level Architectural Characterization
Benchmarks for Parallel Computers," Technical Report UT-CS-98-394,
Univ. of Tennessee, 1998.
[5] Douglas M. Pase, "Linpack HPL Performance on IBM eServer 326 and
xSeries 336 Servers," IBM, 2005.
[6] T. Sterling, D. Becker, D. Savareseet. al., "BEOWULF: A
ParallelWorkstation for Scientific Computation," Proc. Of International
Conf: On Parallel Processing (ICPP), August 1995.
[7] HPL, Available at: http://www.netlib.org/benchmark/hpl/.
[8] TOP500 Lists, Available at : http://top500.org
[9] The Message Passing Interface (MPI) standard, Available at:
http://www.mcs.anl.gov/research/projects/mpi/
@article{"International Journal of Information, Control and Computer Sciences:51236", author = "Chih-Wei Hsieh and Chau-Yi Chou and Sheng-HsiuKuo and Tsung-Che Tsai and I-Chen Wu", title = "Benchmarking: Performance on ALPS and Formosa Clusters", abstract = "This paper presents the benchmarking results and
performance evaluation of differentclustersbuilt atthe National Center
for High-Performance Computingin Taiwan. Performance of
processor, memory subsystem andinterconnect is a critical factor in the
overall performance of high performance computing platforms. The
evaluation compares different system architecture and software
platforms. Most supercomputer used HPL to benchmark their system
performance, in accordance with the requirement of the TOP500 List.
In this paper we consider system memory access factors that affect
benchmark performance, such as processor and memory
performance.We hope these works will provide useful information for
future development and construct cluster system.", keywords = "Performance Evaluation, Benchmarking and
High-Performance Computing", volume = "6", number = "9", pages = "1093-5", }