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BSP Performance Analysis and Prediction: Tools and Application
Journal article   Peer reviewed

BSP Performance Analysis and Prediction: Tools and Application

W. Zheng, S. Khan and H. Xie
Parallel Computing Technologies, Vol.1662, pp.313-319
2003
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Abstract

Load balance is one of the critical factors affecting the overall per- formance of the BSP (Bulk Synchronous Parallel) programs. Without sufficient performance profiling information generated by effective profiling tools, it is often difficult to find out what extent and where load imbalance has occurred in a BSP program. In this paper, we introduce a new parallel performance profil- ing system for the BSP model. The system traces and generates comprehensive information on timing and communication by each process in each superstep. Its aim is to assist in the improvement of BSP program performance by identi- fying load imbalance among processors. The profiling data is visualised via a series of performance profiling graphs, making it easier to identify overloaded processes in a superstep. The visualising component of the system is written in Java, thus runs on almost any type of computer systems.

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