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Abstract: Parallel workstations, each comprising tens of processors based on shared memory, promise cost-effective scalable multiprocessing. This paper explores the coupling of such small- to medium-scale shared memory multiprocessors through software over a local area network to synthesize larger shared memory systems. We call these systems Distributed Shared-memory MultiProcessors (DSMPs). This paper introduces the design of a shared memory system that uses multiple granularities of sharing, called... (Update)
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BibTeX entry: (Update)
@article{ yeung00multigrain,
author = "Donald Yeung and John Kubiatowicz and Anant Agarwal",
title = "Multigrain Shared Memory",
journal = "ACM Transactions on Computer Systems",
volume = "18",
number = "2",
pages = "154--196",
year = "2000",
url = "citeseer.ist.psu.edu/yeung00multigrain.html" }
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