Optimistic Parallel Discrete Event Simulation Based on Multi-core Platform and its Performance Analysis

被引：0

作者：

Su, Nianle ^{[1
]}

Hou, Hongtao ^{[1
]}

Yang, Feng ^{[1
]}

Li, Qun ^{[1
]}

Wang, Weiping ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Informat Syst & Management, Dept Syst Engn, Changsha 410073, Hunan, Peoples R China

来源：

CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2 | 2009年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The development of computer processor has stepped into the era of multi-core, providing a good chance to spread the parallel discrete event simulation. The parallel programming model and synchronization problem during the parallelization of discrete event simulation on multi-core platform were discussed. A parallel discrete event simulator based on multi-core platform was designed and implemented using the optimistic synchronization algorithm. On an HP multi-core server with up to 8 cores, both the overheads of the parallel simulator and the effects of event granularity, process number, lookahead on the simulation performance were tested using the Phold model. The experiment results show that the optimistic parallel discrete event simulation based on multi-core platform could achieve good speedup for simulation applications with coarse-grained events.

引用

页码：675 / 680

页数：6

共 50 条

[21] Parallel techniques for physically based simulation on multi-core processor architectures
Thomaszewski, Bernhard
Pabst, Simon
Blochinger, Wolfgang
COMPUTERS & GRAPHICS-UK, 2008, 32 (01): : 25 - 40
[22] Parallel Multi-core Verilog HDL Simulation based on Domain Partitioning
Ahmad, Tariq B.
Ciesielski, Maciej
2014 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI), 2014, : 620 - 625
[23] Spatial/Temporal Locality-Based Load Sharing in Speculative Discrete Event Simulation on Multi-core Machines
Montesano, Federica
Marotta, Romolo
Quaglia, Francesco
ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, 2024, 35 (01):
[24] Load balancing mechanism for parallel agent-based simulation on multi-core CPU and GPU heterogeneous platform
Wang, Wei-Ping
Yu, Wen-Guang
Hou, Hong-Tao
Li, Qun
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2012, 34 (11): : 2366 - 2373
[25] Machine Learning Based Performance Prediction for Multi-core Simulation
Rai, Jitendra Kumar
Negi, Atul
Wankar, Rajeev
MULTI-DISCIPLINARY TRENDS IN ARTIFICIAL INTELLIGENCE, 2011, 7080 : 236 - +
[26] Performance modeling and analysis of parallel Gaussian elimination on multi-core computers
Sibai, Fadi N.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2014, 26 (01) : 41 - 54
[27] THE PERFORMANCE EVALUATION OF LIBPCAP BASED ON MULTI-CORE NETWORK PROCESSOR PLATFORM
Ma, Xiao
Zhang, Wu
Zhaoxu
2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 1, 2012, : 111 - 115
[28] Parallel computing of discrete element method on multi-core processors
Shigeto, Yusuke
Sakai, Mikio
PARTICUOLOGY, 2011, 9 (04) : 398 - 405
[29] Performance Analysis of Parallel Smoothed Particle Hydrodynamics on Multi-core CPUs
Chen Wenbo
Yao, Yucheng
Zhang, Yang
2014 International Conference on Cloud Computing and Internet of Things (CCIOT), 2014, : 85 - 90
[30] Parallel and Distributed Simulation of networked Multi-Core Systems
Wehner, Philipp
Goehringer, Diana
2014 INTERNATIONAL SYMPOSIUM ON SYSTEM-ON-CHIP (SOC), 2014,

← 1 2 3 4 5 →