Memory Pinning to Accelerate Model Training
SMRTR summary
A simple technique to accelerate GPU model training in PyTorch involves memory pinning. By changing two lines of code - setting pin_memory=True in DataLoader and non_blocking=True during data transfer - training time can be significantly reduced, as demonstrated with the MNIST dataset improving from 43 seconds to under 10 seconds for 5 epochs.
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