Deadlock-Free Message Routing in Multiprocessor Interconnection Networks
IEEE Transactions on Computers
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Computers and Intractability: A Guide to the Theory of NP-Completeness
A large scale, homogeneous, fully distributed parallel machine, I
ISCA '77 Proceedings of the 4th annual symposium on Computer architecture
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Communications of the ACM
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IEEE Transactions on Parallel and Distributed Systems
A clustering model for multicast on hypercube network
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
Clustering multicast on hypercube network
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
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An efficient interprocessor communication mechanism is essential to the performance of hypercube multiprocessors. All existing hypercube multiprocessors basically support one-to-one interprocessor communication only. However, multi-destination communication (multicast), which is highly demanded in executing many data parallel algorithms, is not directly supported by existing hypercube multiprocessors. A multicast algorithm should attempt to inform each destination in a minimum number of time steps while generating a least amount of traffic. This problem is formally modeled as a graph theoretical problem, the Optimal Multicast Tree problem. We conjecture that the optimal multicast tree problem remains NP-hard even for hypercube topology. A heuristic greedy multicast algorithm which guarantees a minimized message delivery time is proposed. Simulation results show that the performance of the greedy algorithm is very close to optimal solution. Routing of multicast messages is done in a distributed manner.