Supercomputing Gets Neural Network Boost in Quantum Chemistry
Just two years ago, supercomputing was thrust into a larger spotlight because of the surge of interest in deep learning. As we talked about here, the hardware similarities, particularly for training on GPU-accelerated machines and key HPC development approaches, including MPI to scale across a massive number of nodes, brought new attention to the world of scientific and technical computing.
What wasn’t clear then was how traditional supercomputing could benefit from all the framework developments in deep learning. After all, they had many of the same hardware environments and problems that could benefit from prediction, but what they lacked …
Supercomputing Gets Neural Network Boost in Quantum Chemistry was written by Nicole Hemsoth at The Next Platform.
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