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Titlebook: Euro-Par 2021: Parallel Processing Workshops; Euro-Par 2021 Intern Ricardo Chaves,Dora B. Heras,Laura Ricci Conference proceedings 2022 Spr

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樓主: AMUSE
51#
發(fā)表于 2025-3-30 11:02:02 | 只看該作者
Accelerating FFT Using NEC SX-Aurora Vector Enginef maximizing the vector length usage of the algorithm and that adapting the algorithm to replace memory instructions with register shuffling operations can boost the performance of FFT-like computational kernels.
52#
發(fā)表于 2025-3-30 15:57:17 | 只看該作者
https://doi.org/10.1007/978-3-658-06850-9cus on how to schedule tasks that share some of their input data (but are otherwise independent) on a GPU. We provide a formal model of the problem, exhibit an optimal eviction strategy, and show that ordering tasks to minimize data movement is NP-complete. We review and adapt existing ordering stra
53#
發(fā)表于 2025-3-30 18:01:53 | 只看該作者
Die Geschichte der Kinderheilkundeacts the size and the frequency of data transfers in an application and visualizes them as a communication matrix. To demonstrate the tool in action, we present communication matrices and some statistics for two applications coming from machine translation and image classification domains.
54#
發(fā)表于 2025-3-31 00:10:11 | 只看該作者
55#
發(fā)表于 2025-3-31 01:47:13 | 只看該作者
56#
發(fā)表于 2025-3-31 08:18:09 | 只看該作者
57#
發(fā)表于 2025-3-31 12:13:13 | 只看該作者
Locality-Aware Scheduling of?Independent Tasks for?Runtime Systemsrators have their own memory, which is usually quite limited, and are connected to the main memory through a bus with bounded bandwidth. Thus, particular care should be devoted to data locality in order to avoid unnecessary data movements. Task-based runtime schedulers have emerged as a convenient a
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