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PRELIMINARY PROGRAM - International Workshop on Performance Analysis of Machine Learning Systems

Sunday, August 23, 2020 -- Virtual (Approximately 9:00 am - 5:00 pm US EDT = 13:00 - 21:00 UTC)

In conjunction with ISPASS 2020

Invited Speakers

Speaker Affiliation Talk Title
Vivienne Sze MIT How to Evaluate Efficient Deep Neural Network Approaches
Grigori Fursin Co-Founder and CTO – CodeReef.ai Enabling Reproducible ML&Systems Research: The Good, the Bad and the Ugly
Yuhao Zhu University of Rochester Getting Computer Systems Ready for Visual Computing in Ten Years
Leopold Grinberg IBM Research Unsupervised Training and Unified Global Address Spaces
Colby Banbury Harvard University tinyMLPerf: Benchmarking Ultra-low Power Machine Learning Systems
Chuang Gan IBM Pending
Anju Kambadur, Ania Musial, Ian Hummel Bloomberg L.P. The Bloomberg Data Science Platform

Technical Papers

Title SpecNet: Spectral Domain Convolutional Neural Network
Authors Bochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski (University of Wisconsin), Fang Liu (Harvard University)
Title Quantifying the impact of data encoding on DNN fault tolerance
Authors Edward Pyne, Lillian Pentecoste, Udit Gupta, Gu-Yeon Wei, David Brooks (Harvard University)