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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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10/03/2019
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour
Existing approaches to train neural networks that use large images requi...
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06/03/2019
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model
In this work, we quantize a trained Transformer machine language transla...
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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