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Titlebook: High Performance Computing and Communications; Third International Ronald Perrott,Barbara M. Chapman,Laurence T. Yang Conference proceedin

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樓主: 拖累
51#
發(fā)表于 2025-3-30 12:15:39 | 只看該作者
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53#
發(fā)表于 2025-3-30 20:20:24 | 只看該作者
PARMI: A Publish/Subscribe Based Asynchronous RMI Framework for Cluster Computingexibility. PARMI enables high-performance communication among heterogeneous distributed processors. Based on publish/subscribe paradigm, PARMI realizes asynchronous communication and computation by decoupling objects in space and time. The design of PARMI is motivated by the needs of scientific appl
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55#
發(fā)表于 2025-3-31 04:38:26 | 只看該作者
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發(fā)表于 2025-3-31 07:12:20 | 只看該作者
Performance Evaluation of Distributed Computing over Heterogeneous Networksde variety of architectures. We implemented RWAPI on top of the modular software architecture called GRWA. RWAPI supports Ethernet, InfiniBand and Myrinet network interconnects. This paper introduces RWAPI and the design of its network component on top of both InfiniBand and Myrinet interconnects. W
57#
發(fā)表于 2025-3-31 09:38:31 | 只看該作者
Hybrid Line Search for Multiobjective Optimizationques sometimes fail in different aspects for determining the Pareto frontier. This paper proposes a new line search based approach for multicriteria optimization. The objectives are aggregated and the problem is transformed into a single objective optimization problem. Then the line search method is
58#
發(fā)表于 2025-3-31 15:05:59 | 只看該作者
59#
發(fā)表于 2025-3-31 18:48:56 | 只看該作者
A Data Imputation Model in Sensor Databasesen in sensor databases. The reasons include power outage at the sensor node, sensors time synchronization, occurrences of local interferences, unstable wireless network communication, etc. Therefore, in sensor database applica-tions, there is a need for data imputation, especially for those applicat
60#
發(fā)表于 2025-3-31 23:50:00 | 只看該作者
An Adaptive Parallel Hierarchical Clustering Algorithmallel algorithms have been designed, most of algorithms use the CRCW-PRAM or CREW-PRAM models of computing. This paper proposed a parallel EREW deterministic algorithm for hierarchical clustering. Based on algorithms of complete graph and Euclidean minimum spanning tree, the proposed algorithms can
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