May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Numerical weather prediction
The following research paper is discussed in this section: GPU acceleration of numerical weather prediction, J Michalakes and M Vachharajani (2008), Parallel Processing Letters, 18(04), 531-548. doi:10.1142/s0129626408003557.
This paper highlights the emerging need of increased parallelism rather than increased processor speed for the prediction of weather and the climate. The use of large-scale parallelism is described to be ineffective for many scenarios, where strong scaling is required.
The GPU computing approach with fine-grained parallelism reveals an increase in speeds of nearly 10 times for a computationally intensive portion of the Weather Research and Forecast (WRF) model on a variety of NVIDIA GPUs. ...
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