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Performance of distributed memory methods in multiprocessing clusters

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2 Author(s)
Crandall, P.E. ; Los Alamos Nat. Lab., NM, USA ; Leichtl, J.

The availability of multiprocessing workstations offers the opportunity to simultaneously apply both shared and distributed memory parallel processing techniques to a single application. It has been assumed that using the data sharing formalisms native to the specific machine would yield performance superior to those obtained with a more general message passing system. We compared the performance of pure message passing methods with a combination of message passing and shared memory data sharing techniques and found that the benefit of the added complexity of dual level programming is negligible or non-existent

Published in:

System Sciences, 1998., Proceedings of the Thirty-First Hawaii International Conference on  (Volume:7 )

Date of Conference:

6-9 Jan 1998