TY - GEN
T1 - A framework for parallel simulation application performance evaluation and optimization
AU - Zhang, Z. H.
AU - Fei, T.
AU - Chai, X. D.
PY - 2011
Y1 - 2011
N2 - Massively parallel simulation application software running on high performance computers is composed by a number of distributed sub-systems which have close interaction and logic processing relationship. How to analyze application performance problems during programming and execution, and how to effectively improve the performance of parallel simulation application are important and challenging problems. To meet the requirements of parallel simulation application software on system quality, system load balancing, system performance and other evaluation and optimization, the paper presents a framework for PSoA-Tool (Parallel Simulation-oriented Analyze Tool) on high-performance computer environments. It is divided into five layers: model and code input layer, data collection layer, data management layer, data analysis layer, and decision optimization layer. It can achieve performance optimization for massively parallel simulation application software in the code, node, and task levels by PSoA-Tool.
AB - Massively parallel simulation application software running on high performance computers is composed by a number of distributed sub-systems which have close interaction and logic processing relationship. How to analyze application performance problems during programming and execution, and how to effectively improve the performance of parallel simulation application are important and challenging problems. To meet the requirements of parallel simulation application software on system quality, system load balancing, system performance and other evaluation and optimization, the paper presents a framework for PSoA-Tool (Parallel Simulation-oriented Analyze Tool) on high-performance computer environments. It is divided into five layers: model and code input layer, data collection layer, data management layer, data analysis layer, and decision optimization layer. It can achieve performance optimization for massively parallel simulation application software in the code, node, and task levels by PSoA-Tool.
KW - Optimization
KW - Parallel simulation
KW - Performance evaluation
UR - https://www.scopus.com/pages/publications/80052918463
U2 - 10.1109/ICMT.2011.6001687
DO - 10.1109/ICMT.2011.6001687
M3 - 会议稿件
AN - SCOPUS:80052918463
SN - 9781612847740
T3 - 2011 International Conference on Multimedia Technology, ICMT 2011
SP - 5692
EP - 5695
BT - 2011 International Conference on Multimedia Technology, ICMT 2011
T2 - 2nd International Conference on Multimedia Technology, ICMT 2011
Y2 - 26 July 2011 through 28 July 2011
ER -