Titlebook: High Performance Computing; 30th International C Julian M. Kunkel,Thomas Ludwig Conference proceedings 2015 Springer International Publishi

invade

Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2,rst SNP detection tool empowered by Xeon Phi. We achieved a 45x speedup on a single node of Tianhe-2, without any loss in precision. Moreover, mSNP showed promising scalability on 4,096 nodes on Tianhe-2.

產(chǎn)生

Texture

Endearing

On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Cop coprocessors, and to show significant performance improvements compared to existing state-of-the-art implementations. Therefore, in addition to the new optimization strategies, analysis, and optimal performance results, we finally present the significance of using these routines/strategies to accel

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Dtree: Dynamic Task Scheduling at Petascale,an essential and expensive step in quantum chemistry codes. For ParaBLe, we show improved performance while eliminating the complexity of managing heterogeneity. For GTFock, we match the most recently published performance without using any application-specific optimizations for data access patterns

amputation

Incompetent

Humble

Lattice-CSC: Optimizing and Building an Efficient Supercomputer for Lattice-QCD and to Achieve Firsrior power efficiency. The November?2014 Green500 list awarded L-CSC the most power-efficient supercomputer in the world with?5270?MFLOPS/W in the Linpack benchmark. This paper presents optimizations to our Linpack implementation HPL-GPU and other power efficiency improvements which helped L-CSC rea

Filibuster

An Efficient Clique-Based Algorithm of Compute Nodes Allocation for In-memory Checkpoint System,onsequently very important since it directly impacts the probability of multi-node-failure within one group. In this paper, we propose a novel node allocation model, which takes the topological structure of high-performance computing systems into account and can greatly reduce the probability of mul

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