基于SkePU的并行和异构HPC架构在神经仿真中的可移植开发

Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems Pub Date : 2020-05-25 DOI:10.1145/3378678.3391889

Sotirios Panagiotou, August Ernstsson, Johan Ahlqvist, Lazaros Papadopoulos, C. Kessler, D. Soudris

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引用次数: 1

摘要

现代HPC系统的复杂性要求使用支持高级编程模型的新工具，并提供并行和异构架构的可移植性和可编程性。在这项工作中，我们评估了SkePU框架在神经计算领域的HPC应用程序中的使用。我们演示了使用多个后端(OpenMP、OpenCL和MPI)成功部署基于SkePU的应用程序，并介绍了对SkePU框架未来扩展的经验教训。

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Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePU

The complexity of modern HPC systems requires the use of new tools that support advanced programming models and offer portability and programmability of parallel and heterogeneous architectures. In this work we evaluate the use of SkePU framework in an HPC application from the neural computing domain. We demonstrate the successful deployment of the application based on SkePU using multiple back-ends (OpenMP, OpenCL and MPI) and present lessons-learned towards future extensions of the SkePU framework.

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Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems

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