An Evaluation of Page Aggregation Technique on Different DSM Systems
ISHPC '00 Proceedings of the Third International Symposium on High Performance Computing
Shared memory computing on SP2: JIAJIA approach
CASCON '98 Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research
Towards scalable and simple software-DSM systems
Proceedings of the twentieth ACM symposium on Operating systems principles
On the Design and Implementation of an Effective Prefetch Strategy for DSM Systems
The Journal of Supercomputing
Towards implementation of a novel scheme for data prefetching on distributed shared memory systems
The Journal of Supercomputing
Design and implementation of an agent home scheme strategy for prefetch-based DSM systems
International Journal of Parallel Programming
vNUMA: a virtual shared-memory multiprocessor
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
Evaluation of the acknowledgment reduction in a Software-DSM system
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Load balancing design issues on prefetch-based DSM systems
APPT'05 Proceedings of the 6th international conference on Advanced Parallel Processing Technologies
On design and implementation of adaptive data classification scheme for DSM systems
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
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Distributed Shared Memory (DSM) combines the scalability of loosely coupled multicomputer systems with the ease of usability of tightly coupled multiprocessors, and allows transparent replication and caching of data. DSM has received much attention in the past decade and many consistency models, protocols, and systems were developed. In this paper, we describe a new software DSM system called JIAJIA, and evaluate it with a suite of widely different applications running on an IBM SP2 cluster, a high performance computer system. Our experiments show that applications can achieve moderate to good speedups with JIAJIA and have performance comparable to the commercial TreadMarks system.