Titlebook: Algorithms and Architectures for Parallel Processing; 14th International C Xian-he Sun,Wenyu Qu,Lei Liu Conference proceedings 2014 Springe

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书目名称Algorithms and Architectures for Parallel Processing影响因子(影响力)




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书目名称Algorithms and Architectures for Parallel Processing网络公开度学科排名




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书目名称Algorithms and Architectures for Parallel Processing被引频次学科排名




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书目名称Algorithms and Architectures for Parallel Processing读者反馈学科排名

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engagement

极深

Acceleration of Solving Non-Equilibrium Ionization via Tracer Particles and MapReduce on Eulerian M easily adapted to other simulations modeling reactive flow on Eulerian mesh. Evaluations on up to 192 cores show that our approach can improve the end-to-end performance of a real world simulation by 3-fold above.

心胸开阔

Utilizing Multiple Xeon Phi Coprocessors on One Compute Node,penMP counterpart. All the programming approaches are tested by a real-world 3D application, for which the COI-SCIF approach shows a performance upper hand on a Tianhe-2 compute node with three Xeon Phi coprocessors.

Hamper

HPSO: Prefetching Based Scheduling to Improve Data Locality for MapReduce Clusters,w tasks. To this end, we have implemented HPSO in Hadoop-1.1.2. The experiment results have shown that the method can reduce the map tasks causing remote data delay, and improves the performance of Hadoop clusters.

Oscillate

Similar Samples Cleaning in Speculative Multithreading, the program features, similarity values between samples are calculated to assess the similar degree. In this paper, we introduce a novel way of assessing the similarity of two program samples using Theory of Fuzzy. We firstly calculate the Euclidean Distance of two different program samples as the

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Inflammation

A Platform for Stock Market Simulation with Distributed Agent-Based Modeling,related problems. The sample simulation on the platform is verified to be compatible with the data from Euronext-NYSE and the platform shows fair scalability and performance under different parallelism configurations.

壁画

C2CU : A CUDA C Program Generator for Bulk Execution of a Sequential Algorithm,all algorithm, and Montgomery modulo multiplication. Our implementations running on GeForce GTX Titan for the bulk execution can be 199 times faster for bitonic sort, 54 times faster for Floyd-Warshall algorithm, and 78 times faster for Montgomery modulo multiplication, over the implementations on a