In computational research, GPU acceleration has become indispensable, especially for handling complex tasks like deep learning. CoESRA’s GPU node gives researcher’s the opportunity to access that computational power remotely.
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This script has been tailored to generate a significant computational load illustrating the CoESRA virtual desktop GPU node’s computation capabilities.
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Should I include comparison times between running this script in the CPU node vs the GPU node to further emphasise how heavy it is? It’s 40+hrs to run using the CPU node vs ~35m using the GPU nodeThis script takes approximately 35min to run in the CoESRA virtual environment’s GPU node using default settings. By comparison, it takes more than 46hrs to run the script using a CPU node with default settings in CoESRA’s virtual environment (see screenshot below).
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If you would like to trial the CoESRA GPU node, run the below python script in VSCode within the CoESRA virtual desktop.
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