The Hard Limits for Deep Learning in HPC
If the hype is to be believed, there is no computational problem that cannot be tackled faster and better by artificial intelligence. But many of the supercomputing sites of the world beg to differ.
With that said, the deep learning boom has benefitted HPC in numerous ways, including bringing new cred to the years of hardware engineering around GPUs, software scalability tooling for complex parallel codes, and other feats of efficient performance at scale. And there are indeed areas of high performance computing that stand to benefit from integration of deep learning into the larger workflow including weather, cosmology, molecular …
The Hard Limits for Deep Learning in HPC was written by Nicole Hemsoth at The Next Platform.
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