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04/05/2021
GPU Domain Specialization via Composable On-Package Architecture
As GPUs scale their low precision matrix math throughput to boost deep l...
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12/08/2020
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems
With deep reinforcement learning (RL) methods achieving results that exc...
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07/30/2019
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
Deploying deep learning (DL) models across multiple compute devices to t...
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03/06/2019
