Effectively Utilizing Global Cluster Memory for Large Data-Intensive Parallel Programs
IEEE Transactions on Parallel and Distributed Systems
A peer-to-peer IO buffering service based on RAM-grid
International Journal of Autonomous and Adaptive Communications Systems
A practical way to extend shared memory support beyond a motherboard at low cost
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
A distributed paging RAM grid system for wide-area memory sharing
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
A cost-effective heuristic to schedule local and remote memory in cluster computers
The Journal of Supercomputing
A new degree of freedom for memory allocation in clusters
Cluster Computing
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Large scientific parallel applications demand large amounts of memory space. Current parallel computing platforms schedule jobs without fully knowing their memory requirements. This leads to uneven memory allocation in which some nodes are overloaded. This, in turn, leads to disk paging, which is extremely expensive in the context of scientific parallel computing. To solve this problem, we propose a new peer-to-peer solution called Parallel Network RAM. This approach avoids the use of disk and better utilizes available RAM resources. This approach will allow larger problems to be solved while reducing the computational, communication and synchronization overhead typically involved in parallel applications.