Frequent occurrence of various events has a tremendous impact on daily social life;and how to accurately evaluate the generated energy by an event is the spot in the event study. With the rapid development of the inte...
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Frequent occurrence of various events has a tremendous impact on daily social life;and how to accurately evaluate the generated energy by an event is the spot in the event study. With the rapid development of the internet technology, the internet web has become a good platform for evaluating event's energy. Based on the physical shock wave model was firstly introduced to evaluate the generated energy by an event in this paper, this paper proposed a new method that the shock wave model was used to cluster classify with track sequential information under an action of an event. The experimental results show that it has a good consistency between the generated energy by an event under the shock wave model and people's behavior affected by an event, and the proposed energy evaluation method is correct and practical.
This paper presents a Graphics Processing Unit (GPU)-based implementation of a Bellman-Ford (BF) routing algorithm using NVIDIA's Compute Unified Device Architecture (CUDA). In the proposed GPU-based approach, mul...
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This paper presents a Graphics Processing Unit (GPU)-based implementation of a Bellman-Ford (BF) routing algorithm using NVIDIA's Compute Unified Device Architecture (CUDA). In the proposed GPU-based approach, multiple threads run concurrently over numerous streaming processors in the GPU to dynamically update routing information. Instead of computing the individual vertex distances one-by-one, a number of threads concurrently update a larger number of vertex distances, and an individual vertex distance is represented in a single thread. This paper compares the performance of the GPU-based approach to an equivalent CPU implementation while varying the number of vertices. Experimental results show that the proposed GPU-based approach outperforms the equivalent sequential CPU implementation in terms of execution time by exploiting the massive parallelism inherent in the BF routing algorithm. In addition, the reduction in energy consumption (about 99 %) achieved by using the GPU is reflective of the overall merits of deploying GPUs across the entire landscape of IP routing for emerging multimedia communications.
Computational chemistry is a quickly evolving field within the computational science discipline. However, the ability to model complex molecular systems and phenomena depends on the availability of computational resou...
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Computational chemistry is a quickly evolving field within the computational science discipline. However, the ability to model complex molecular systems and phenomena depends on the availability of computational resources. In this context, clustering computing is becoming a first line tool. (c) 2005 Elsevier B.V. All rights reserved.
The efficiency of Software Distributed Shared Memory (DSM) is often limited by the excessive amount of network communication in maintaining the memory consistency of the system. Two of the most popular software soluti...
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The efficiency of Software Distributed Shared Memory (DSM) is often limited by the excessive amount of network communication in maintaining the memory consistency of the system. Two of the most popular software solutions to reduce redundant data traffic are relaxed memory consistency models and traffic-thrifty coherence protocols. In this paper, we propose the migrating-home protocol for a relaxed memory consistency model, the scope consistency model. The protocol allows the processor storing the most up-to-date copy of a page to change from one processor to another, so as to better adapt to the memory access patterns of DSM applications. The new protocol has been implemented in a DSM system running on a 16-node Pentium III 450MHz PC cluster. We analyzed not only the execution time of the benchmark programs, but also the communication and page fault patterns via a new analysis approach. It is shown that our DSM system reduces the amount of network communication and handles page faults more efficiently. The benchmark results provide concrete evidence for the substantial performance improvement obtained by our system.
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