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Titlebook: Euro-Par 2016: Parallel Processing Workshops; Euro-Par 2016 Intern Frédéric Desprez,Pierre-François Dutot,Josef Weide Conference proceeding

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楼主: Sentry
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Das endliche, am Ende offene Kabel, providing a level of automation necessary for scaling the course to a large number of students. In contrast to other solutions, the exploited Platform as a Service model provides the ability to quickly reuse this approach by other PDC educators without installation of the platform.
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Karl-Heinz Hellwege,Werner Knappe approach in the context of the dense Cholesky factorization kernel implemented on top of the StarPU task-based runtime system. We present experimental results showing that our solution outperforms state of the art implementations.
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https://doi.org/10.1007/978-3-663-05957-8ters. We discuss various methods to effectively exploit the available on-node parallelism to increase parallel efficiency and provide detailed performance analysis on two leading Cray supercomputers. In addition, we also present performance results obtained on the Intel Knights Landing processor.
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Using Everest Platform for Teaching Parallel and Distributed Computing providing a level of automation necessary for scaling the course to a large number of students. In contrast to other solutions, the exploited Platform as a Service model provides the ability to quickly reuse this approach by other PDC educators without installation of the platform.
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Resource Aggregation for Task-Based Cholesky Factorization on Top of Heterogeneous Machines approach in the context of the dense Cholesky factorization kernel implemented on top of the StarPU task-based runtime system. We present experimental results showing that our solution outperforms state of the art implementations.
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A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems SQMR method for sparse symmetric indefinite problems in ILUPACK. The evaluation on a NVIDIA Kepler GPU shows a sensible reduction of the execution time, while maintaining the convergence rate and numerical properties of the original ILUPACK solver.
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