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07/25/2021
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization – Extended Technical Report
Improving datacenter operations is vital for the digital society. We pos...
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03/18/2021
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
Deep learning is finding its way into high energy physics by replacing t...
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03/30/2020
Deep-learning enhancement of large scale numerical simulations
Traditional simulations on High-Performance Computing (HPC) systems typi...
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05/10/2019
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation
Neural machine translation - using neural networks to translate human la...
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11/12/2017
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
For the past 5 years, the ILSVRC competition and the ImageNet dataset ha...
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03/19/2017
