I am a research engineer at Facebook AI Research, currently building new CPU- and GPU-based systems for machine learning. At Facebook I previously worked on Apollo, a novel large-scale distributed database system built using strong and weak consensus protocols. Prior to Facebook, I worked for over a decade in the video game industry, primarily on real-time physics simulation, distributed systems and low-level optimization. I studied mathematics and computer science at Princeton University, with a BSE in computer science.
Interests
Distributed and parallel computation, signal processing and code optimization
Latest Publications
Efficient, arbitrarily high precision hardware logarithmic arithmetic for linear algebra
Jeff Johnson
ARITH - June 1, 2020
Rethinking floating point for deep learning
Jeff Johnson
Systems for Machine Learning Workshop at NeurIPS 2018 - December 7, 2018
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun
June 22, 2015
