Optimizing Data Collection in Deep Reinforcement Learning. - James Gleeson 001; Daniel Snider; Yvonne Yang; Moshe Gabel; Eyal de Lara; Gennady Pekhimenko (CoRR, 2022)

Hotline Profiler: Automatic Annotation and A Multi-Scale Timeline for Visualizing Time-Use in DNN Training. - Daniel Snider; Fanny Chevalier; Gennady Pekhimenko (MLSys, 2023)

Operator Fusion in XLA: Analysis and Evaluation. - Daniel Snider; Ruofan Liang (CoRR, 2023)

Benchmarking Neural Network Training Algorithms. - George E. Dahl; Frank Schneider 001; Zachary Nado; Naman Agarwal; Chandramouli Shama Sastry; Philipp Hennig; Sourabh Medapati; Runa Eschenhagen; Priya Kasimbeg; Daniel Suo; Juhan Bae; Justin Gilmer; et al. (CoRR, 2023)