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Efficient categorization of memory sharing patterns in software DSM systems

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2 Author(s)
de Castro, M.C.S. ; Dept. of Comput. Sci., Fed.. Univ. of Juiz de Fora, Minas Gerais, Brazil ; de Amorim, C.L.

This work introduces a new technique that enables SDSMs to categorize dynamically and accurately memory sharing patterns in both classes of regular and irregular applications. The categorization is carried out automatically at run-time on a per-page basis, requiring no user or compiler assistance. We evaluate the potential benefits of our technique using execution-driven simulations of 8 applications running on TrendMarks on a network of 8 workstations. Surprisingly, we found that producer-consumer(s) and migratory are the dominant patterns even in irregular applications. Preliminary results suggest that the categorization technique we propose is a promising option to further improve the performance of current adaptive SDSM systems

Published in:

Parallel and Distributed Processing Symposium., Proceedings 15th International

Date of Conference:

Apr 2001