Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2004-09-18
Computer Science
Distributed, Parallel, and Cluster Computing
7 pages, 4 figures, 6 tables, submitted to HICSS-38
Scientific paper
The development of cost-effective highperformance parallel computing on multi-processor supercomputers makes it attractive to port excessively time consuming simulation software from personal computers (PC) to super computes. The power distribution system simulator (PDSS) takes a bottom-up approach and simulates load at the appliance level, where detailed thermal models for appliances are used. This approach works well for a small power distribution system consisting of a few thousand appliances. When the number of appliances increases, the simulation uses up the PC memory and its runtime increases to a point where the approach is no longer feasible to model a practical large power distribution system. This paper presents an effort made to port a PC-based power distribution system simulator to a 128-processor shared-memory supercomputer. The paper offers an overview of the parallel computing environment and a description of the modification made to the PDSS model. The performance of the PDSS running on a standalone PC and on the supercomputer is compared. Future research direction of utilizing parallel computing in the power distribution system simulation is also addressed.
Chassin David P.
Guttromson Ross T.
Lu Ning
Studham Scott R.
Taylor Todd Z.
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