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Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training
Redesigning Scheduling in Ray to Improve Cost-Efficiency at Scale
Closing the Scheduling Gap: Lessons from Scheduling AI Workloads at Scale - Ekin Karabulut
Large-scale distributed training with TorchX and Ray
MathCoSolves | Optimizing Workforce Scheduling in Manufacturing | MathCo
Learning Rate Scheduling: The Secret to Faster & Better Deep Learning
Fast, Efficient Infrastructure for Distributed Deep Learning, Amar Phanisayee, Microsoft Research
Large-scale machine learning at Facebook, Kim Hazelwood (Facebook), Mohamed Fawzy (Facebook)
How to Use Learning Rate Scheduling for Neural Network Training
NSDI '23-Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
Example Selection and Post-Training Quantization for Large-Scale Machine Learning with Chris De Sa
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Last Updated: August 14, 2026
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