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2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (2000)
Bologna, Italy
May 28, 2000 to May 31, 2000
ISSN: 1087-4097
ISBN: 0-7695-0677-1
pp: 45
Rajive L. Bagrodia , University of California at Los Angeles
Richard A. Meyer , University of California at Los Angeles
Jay M. Martin , University of California at Los Angeles
ABSTRACT
Rapid progress in the design of fast CPU chips has outstripped progress in memory and cache performance. Optimistic algorithms would seem to be more vulnerable to poor memory performance because they require extra memory for state saving and anti-messages. We examine the performance of both optimistic and conservative protocols in controlled experiments to evaluate the effects of memory speed and cache size, using a variety of applications.
INDEX TERMS
conservative, optimistic, parallel discrete event simulation, parallel architectures, memory performance, cache performance
CITATION
Rajive L. Bagrodia, Richard A. Meyer, Jay M. Martin, "Slow Memory: The Rising Cost of Optimism", 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, vol. 00, no. , pp. 45, 2000, doi:10.1109/PADS.2000.847143
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