The Community for Technology Leaders
Proceedings 11th Workshop on Parallel and Distributed Simulation (1997)
Lockenhaus, AUSTRIA
June 10, 1997 to June 13, 1997
ISSN: 1087-4097
ISBN: 0-8186-7964-6
pp: 174
P.M. Dickens , Illinois Inst. of Technol., Chicago, IL, USA
It is important to understand and efficiently predict the performance of large codes executing on massively parallel machines. However, these very large machines are scarce, expensive, and generally unavailable to large segments of the research community. It is therefore important to implement performance analysis tools for such machines on platforms that are readily available to the research community at large. To meet this need, we have ported LAPSE, a parallel direct-execution simulator, from the Intel Paragon to an ordinary cluster of workstations. The goal of this research is to provide researchers the opportunity to study codes designed for execution on a massively parallel machine while physically executing on a workstation cluster. However, we encountered significant performance problems when moving to a workstation cluster, due primarily to high communication and context switching costs. To reduce these costs, we implemented the virtual processors of the simulated system using light-weight threads rather than heavy-weight Unix processes. In this paper, we discuss the issues involved in moving from a process-based to a thread-based simulator, and demonstrate up to a four fold increase in performance by doing so.
discrete event simulation; workstation-based parallel direct-execution simulator; massively parallel machines; performance analysis tools; LAPSE; parallel direct-execution simulator; Intel Paragon; workstation cluster; context switching costs; high communication costs; light-weight threads; heavy-weight Unix processes; thread-based simulator

P. Dickens, "A workstation-based parallel direct-execution simulator," Proceedings 11th Workshop on Parallel and Distributed Simulation(PADS), Lockenhaus, AUSTRIA, 1997, pp. 174.
92 ms
(Ver 3.3 (11022016))