Performance modelling of a parallel meural network simulator
Authors: Tollenaere, Tom, Roose, Dirk
A model program structure is presented for parallel applications with local interactions between the data elements, such as neural networks simulations and the solution of partial differential equations. The performance of this model program is analyzed both theoretically by means of classical performance models, and experimentally using a parallel neural network simulator program. The program runs on a Meiko transputer array, and uses the Meiko CSTools libraries for its communications. The comparison of both analyses allows to predict applications performance on new and other machines, and indicate what parts of an application are worth optimizing. Moreover, it is shown that classical theoretical models not always capture the behavior of a real machine.
Proceedings of WoTUG-15: Transputer Systems - ongoing Research, Alastair R. Allen, 1992, pp 37 - 48 published by IOS Press, Amsterdam
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