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Abstract: The granularity of shared data is one of the key factors affecting the performance of distributed shared memory machines (DSM). Given that programs exhibit quite different sharing patterns, providing only one or two fixed granularities cannot result in an efficient use of resources. On the other hand, supporting arbitrarily granularity sizes significantly increases not only hardware complexity but software overhead as well. Furthermore, the efficient use of arbitrarily granularities put the... (Update)
Context of citations to this paper: More
...setting seems insufficient. Several recent studies deal with the tradeoff between false sharing elimination and aggregation [1, 11, 19]. On one hand, fine granularity can eliminate false sharing and fragmentation, and reduce unnecessary network traffic. On the other...
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BibTeX entry: (Update)
D. Park and R. H. Saavedra. Adaptive granularity: Transparent integration of fine- and coarse-grain communication. In Proc. of the 1996 Conf. on Parallel Architectures and Compilation Techniques, pages 260--268, October 1996. http://citeseer.ist.psu.edu/article/park96adaptive.html More
@inproceedings{ park96adaptive,
author = "D. Park and R. H. Saavedra",
title = "Adaptive Granularity: Transparent Integration of Fine- and Coarse-grain Communication",
booktitle = "Proc. of the 1996 Conf. on Parallel Architectures and Compilation Techniques",
pages = "260--268",
year = "1996",
url = "citeseer.ist.psu.edu/article/park96adaptive.html" }
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