Finasteride 发表于 2025-3-25 04:27:54

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.

过渡时期 发表于 2025-3-25 09:58:45

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.

招人嫉妒 发表于 2025-3-25 13:20:19

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Commission 发表于 2025-3-25 19:04:13

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领导权 发表于 2025-3-25 20:13:05

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.

乞讨 发表于 2025-3-26 01:45:47

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.

ethnology 发表于 2025-3-26 05:46:24

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.

善于 发表于 2025-3-26 11:27:34

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artifice 发表于 2025-3-26 12:55:02

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.

parasite 发表于 2025-3-26 16:55:54

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