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GTC ON-DEMAND

Presentation
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Abstract:
Learn how the open source Python module CuPy works as a drop-in replacement for NumPy to enable calculation using GPUs. We'll explain how engineers can speed up calculations by making their own kernels on the GPU. We'll also cover other projects incorporating CuPy to increase calculation speed.
Learn how the open source Python module CuPy works as a drop-in replacement for NumPy to enable calculation using GPUs. We'll explain how engineers can speed up calculations by making their own kernels on the GPU. We'll also cover other projects incorporating CuPy to increase calculation speed.  Back
 
Topics:
Tools & Libraries, Algorithms & Numerical Techniques, Deep Learning & AI Frameworks
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9738
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