Software distributed shared memory (DSM) systems have successfully provided the illusion of shared memory on distributed memory machines. However, most software DSM systems use the main memory of each machine as a level in a cache hierarchy, replicating copies of shared data in local memory. Since computer memories tend to be much larger than caches, DSM systems have largely ignored memory capacity issues, assuming there is always enough space in main memory in which to replicate data.

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... ons that access data that exceeds the capacity available in local memory will page to disk, resulting in reduced performance. We have developed a software DSM system based on Cashmere that takes advantage of system-wide memory resources in order to reduce or eliminate paging overhead. Experimental results on a 4-node, 16-processor AlphaServer system demonstrate the improvement in performance using the enhanced software DSM system for applications with large data sets.