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Technology

SlackSwap combines data transfers and recomputation in GPU-limited training

Researchers at UC Merced and the University of Texas at Austin introduced SlackSwap, a planner for deep-learning training. It recomputes some activations when the transfer budget between a GPU and host memory is exceeded; reported results come from simulation, not hardware measurements.

arXiv1 min read Data included