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Found 2 papers, 2 papers with code
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism
We present scalable hybrid-parallel algorithms for training large-scale 3D convolutional neural networks.
μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching
NVIDIA cuDNN is a low-level library that provides GPU kernels frequently used in deep learning.
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