Jeff Johnson
Jeff works in the SysML research group at Facebook AI Research (FAIR), working on novel GPU-based algorithms for machine learning, and ASIC/FPGA computer arithmetic research and development for linear algebra.
Jeff's Publications
December 07, 2018
RESEARCH
COMPUTER VISION
Rethinking floating point for deep learning
Reducing hardware overhead of neural networks for faster or lower power inference and training is an active area of research. Uniform quantization using integer multiply-add has been thoroughly investigated, which requires learning many…
December 07, 2018
June 22, 2015
RESEARCH
NLP
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
We examine the performance profile of Convolutional Neural Network training on the current generation of NVIDIA Graphics Processing Units. We introduce two new Fast Fourier Transform convolution implementations: one based on NVIDIA’s cuFFT…
Nicolas Vasilache, Jeff Johnson, Michael Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun,
June 22, 2015
