Towards scalability in tuple spaces
Proceedings of the 2002 ACM symposium on Applied computing
Efficient data sharing for multi-device multimedia applications
Proceedings of the Workshop on Multi-device App Middleware
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The paper proposes and analyses a scalable model of an associative distributed shared memory for massively parallel architectures. The proposed model is hierarchical and fits the modern style of structured parallel programming. If parallel applications are composed of a set of modules with a well-defined scope of interaction, the proposed model can induce a memory access latency time that only logarithmically increases with the number of nodes. Experimental results show the effectiveness of the model with a transputer-based implementation.