PUMP: Profiling-free Unified Memory Prefetcher for Large DNN Model Support

Chung-Hsiang Lin, Shao-Fu Lin,Yi-Jung Chen, En-Yu Jenp,Chia-Lin Yang

2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)(2022)

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摘要
Modern DNNs are going deeper and wider to achieve higher accuracy. However, existing deep learning frameworks require the whole DNN model to fit into the GPU memory when training with GPUs, which puts an unwanted limitation on training large models. Utilizing NVIDIA Unified Memory (UM) could inherently support training DNN models beyond GPU memory capacity. However, naively adopting UM would suffe...
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关键词
Training,Deep learning,Design automation,Prefetching,Memory management,Asia,Graphics processing units
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