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Performance predictions on implicit communication systems

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3 Author(s)
Xiaodong Zhang ; High Performance Comput. and Software Lab., Texas Univ., San Antonio, TX, USA ; Zhichen Xu ; Lin Sun

This paper presents a multiprocessor performance prediction methodology supported by experimental measurements, which predicts the execution time of large application programs on large parallel architectures based on a small set of sample data. We propose a graph model to describe application program behavior. Important and implicit architecture parameters are obtained by experiments. We focus on performance predictions of application programs on multiprocessors with implicit communications. A large scientific simulation program is implemented using the shared-memory model on the KSR-1 and using the data-parallel model on the CM-5 for performance measurements and prediction validation. We show that experimental measurements provide strong support for the performance prediction on multiprocessors with implicit communications and complex memory systems

Published in:

Parallel and Distributed Processing, 1994. Proceedings. Sixth IEEE Symposium on

Date of Conference:

26-29 Oct 1994