META 发表于 2025-3-30 12:15:39
http://reply.papertrans.cn/43/4264/426332/426332_51.pngBereavement 发表于 2025-3-30 12:42:14
http://reply.papertrans.cn/43/4264/426332/426332_52.png刺激 发表于 2025-3-30 20:20:24
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 applAccessible 发表于 2025-3-30 20:48:30
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http://reply.papertrans.cn/43/4264/426332/426332_55.png彻底明白 发表于 2025-3-31 07:12:20
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杂役 发表于 2025-3-31 09:38:31
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尊严 发表于 2025-3-31 15:05:59
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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用手捏 发表于 2025-3-31 23:50:00
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