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Oral
Wed Apr 07 11:10 AM -- 11:30 AM (PDT)
RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads
James Gleeson · Srivatsan Krishnan · Moshe Gabel · Vijay Janapa Reddi · Eyal de Lara · Gennady Pekhimenko
Oral
Wed Apr 07 11:30 AM -- 11:50 AM (PDT)
A Learned Performance Model for Tensor Processing Units
Sam Kaufman · Mangpo Phothilimthana · Yanqi Zhou · Charith Mendis · Sudip Roy · Amit Sabne · Mike Burrows
Oral
Wed Apr 07 11:50 AM -- 12:10 PM (PDT)
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier · Pierre Delaunay · Mirko Bronzi · Assya Trofimov · Brennan Nichyporuk · Justin Szeto · Nazanin Mohammadi Sepahvand · Edward Raff · Kanika Madan · Vikram Voleti · Samira Ebrahimi Kahou · Vincent Michalski · Tal Arbel · Chris Pal · Gael Varoquaux · Pascal Vincent
Oral
Wed Apr 07 12:10 PM -- 12:30 PM (PDT)
Larq Compute Engine: Design, Benchmark and Deploy State-of-the-Art Binarized Neural Networks
Tom Bannink · Adam Hillier · Lukas Geiger · Tim de Bruin · Leon Overweel · Jelmer Neeven · Koen Helwegen