A New Home-Based Software DSM Protocol for SMP Clusters
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Shared memory computing on clusters with symmetric multiprocessors and system area networks
ACM Transactions on Computer Systems (TOCS)
Modelling and Performability Analysis of Network Memory Servers
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
MemX: supporting large memory workloads in Xen virtual machines
VTDC '07 Proceedings of the 2nd international workshop on Virtualization technology in distributed computing
Synergy: a comprehensive software distributed shared memory system
ISPA'03 Proceedings of the 2003 international conference on Parallel and distributed processing and applications
A framework for process migration in software DSM environments
EURO-PDP'00 Proceedings of the 8th Euromicro conference on Parallel and distributed processing
Distributed anemone: transparent low-latency access to remote memory
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
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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. Applications 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.