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Researchers from UC Berkeley, UC Davis and TACC used Stampede2 to complete a 100-epoch ImageNet deep neural network training in 11 minutes - the fastest ever recorded at that time.

Using 2048 Knights Landing nodes they also finished a 90-epoch ImageNet training with ResNet-50 in 20 minutes.

For batch sizes above 16,000, their accuracy was higher than Facebook's.

Given TACC's large user base and huge capacity, this capability will have a major impact across all fields of science.

The results were published in Arxiv in November 2017.


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