GPU Computing with Python: Performance, Energy Efficiency and Usability

GPU Computing with Python: Performance, Energy Efficiency and Usability

In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU). We investigate the portability of performance and energy efficiency between Compute Unified Device Architecture...

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Bibliographic Details
Main Authors: Håvard H. Holm, André R. Brodtkorb, Martin L. Sætra
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Computation
Subjects:
gpu computing
cuda
opencl
high-performance computing
shallow-water simulation
power efficiency
Online Access:https://www.mdpi.com/2079-3197/8/1/4

Internet

https://www.mdpi.com/2079-3197/8/1/4

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