The Journal of Supercomputing
vNUMA: a virtual shared-memory multiprocessor
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
Performance evaluation of view-oriented parallel programming on cluster of computers
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
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This paper presents a high-performance Distributed Shared Memory system called VODCA, which supports a novel View-Oriented Parallel Programming on cluster computers. One advantage of View-Oriented Parallel Programming is that it allows the programmer to participate in performance optimization through wise partitioning of the shared data into views. Another advantage of this programming style is that it enables the underlying Distributed Shared Memory system to optimize consistency maintenance. VODCA implements a View-based Consistency model and uses an efficient View-Oriented Update Protocol with Integrated Diff to maintain consistency of a view. Important implementation details of VODCA are described in this paper. Experimental results demonstrate that VODCA performs very well and its performance is comparable with MPI (Message Passing Interface) systems.