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Publications

Hotline Profiler: Automatic Annotation and A Multi-Scale Timeline for Visualizing Time-Use in DNN Training
Daniel Snider, Fanny Chevalier, Gennady Pekhimenko
Paper in Proceedings of Machine Learning and Systems (MLSys 2023)
Benchmarking Neural Network Training Algorithms
George Dahl, Frank Schneider, Zachary Nado, Daniel Snider, others, Peter Mattson
Preprint to be submitted to Journal of Machine Learning Research, 2023
Optimizing Data Collection in Deep Reinforcement Learning
James Gleeson, Daniel Snider, Yvonne Yang, Eyal de Lara, and Gennady Pekhimenko
Paper in Workshop on Benchmarking ML Workloads (MLBench) at Conference on Machine Learning and Systems (MLSys 2022)
University Rover Challenge: Team Survey on Robotic Software Architecture
Daniel Snider, Matthew Mirvish, Michal Barcis, Vatan Aksoy Tezer
Book chapter in Robot Operating System (ROS) The Complete Reference (Volume 3), Springer, 2018
A Study of the Effects of Model Architecture Ablations on Training Dynamics
Adamo Young, Daniel Snider, Jinyue Yeng
Course Paper, University of Toronto (U of T), 2022.
Operator Fusion in XLA: Analysis and Evaluation
Daniel Snider, Ruofan Liang
Course Paper, University of Toronto (U of T), 2021.
Postnatal Exocrine Pancreas Growth by Cellular Hypertrophy Correlates with a Shorter Lifespan in Mammals
Shira Anzi, Miri Stolovich-Rain, Daniel Snider, and others, Ran Kafri, Yuval Dor
Developmental Cell, 2018.
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