Titlebook: Supercomputing; 28th International S Julian Martin Kunkel,Thomas Ludwig,Hans Werner Meu Conference proceedings 2013 Springer-Verlag Berlin

束以马具

Cy Chan,Didem Unat,Michael Lijewski,Weiqun Zhang,John Bell,John Shalfexploresthe role of intestinal microbiota in metabolic health and the pathogenesis of common metabolic disorders. It presents state-of-the-art insights into important aspects of United Nations—Sustainable Devel978-981-99-3128-6978-981-99-3126-2

冒号

Up to 700k GPU Cores, Kepler, and the Exascale Future for Simulations of Star Clusters Around Blackas galaxy formation and evolution, massive black hole formation, gravitational wave emission. The models have to cover thousands or more orbital time scales for the order of several million bodies. The total numerical effort is comparable if not higher than for the more widely known cosmological N-b

aggravate

Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supeigh-lift airfoil configuration using 400 GPUs. To the authors’ best knowledge, our work involves the largest-scale simulation on GPU-accelerated systems that solves a realistic CFD problem with complex configurations and high-order schemes.

辩论的终结

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lacrimal-gland

朝圣者

Using Simulation to Validate Performance of MPI(-IO) Implementations,formance. With this approach, the non-function requirement for performance of an implementation can be validated and run-time inefficiencies can be localized..In this paper we demonstrate how simulation can be applied to assess observed performance of collective MPI calls and parallel IO. PIOsimHD,

Engaged

Software Design Space Exploration for Exascale Combustion Co-design, improve performance and reduce energy consumption. These techniques will also be useful for the development of advanced programming models and runtimes, which must reason about these optimizations to deliver better performance and energy efficiency.

畏缩

asthma

Fork-Join and Data-Driven Execution Models on Multi-core Architectures: Case Study of the FMM,n approach compared to the original method. We demonstrate that a data-driven execution of FMM not only improves performance by avoiding global synchronization overheads but also reduces the memory-bandwidth pressure caused by memory-intensive computations.