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Explore a groundbreaking approach to cost-effective deep neural network (DNN) training in this 16-minute conference talk from NSDI '24. Delve into Parcae, an innovative system that leverages preemptible cloud instances to significantly reduce training costs for large DNNs. Learn how Parcae's proactive strategy optimizes 'liveput,' a novel metric combining throughput and robustness, to adapt to predicted resource changes before instance preemptions occur. Discover the system's key features, including lightweight instance migration and an availability predictor, which enable it to outperform existing spot-instance DNN training systems by up to 10 times. Gain insights into Parcae's ability to achieve near-optimal performance for training large DNNs under frequent preemptions, a scenario where current approaches struggle to make progress.
