MLPerf Inference Benchmark.

Vijay Janapa Reddi Christine Cheng David Kanter Peter Mattson Guenther Schmuelling Carole-Jean Wu Brian Anderson Maximilien Breughe Mark Charlebois William Chou Ramesh Chukka Cody Coleman Sam Davis Pan Deng Greg Diamos Jared Duke Dave Fick J. Scott Gardner Itay Hubara Sachin Idgunji Thomas B. Jablin Jeff Jiao Tom St. John Pankaj Kanwar David Lee Jeffery Liao Anton Lokhmotov Francisco Massa Peng Meng Paulius Micikevicius Colin Osborne Gennady Pekhimenko Arun Tejusve Raghunath Rajan Dilip Sequeira Ashish Sirasao Fei Sun Hanlin Tang Michael Thomson Frank Wei Ephrem Wu Lingjie Xu Koichi Yamada Bing Yu George Yuan Aaron Zhong Peizhao Zhang Yuchen Zhou

Published in: CoRR (2019)

Keyphrases

inference process
probabilistic inference
real world
machine learning
quantitative evaluation
structured prediction
data sets
learning algorithm
case study
evolutionary algorithm
bayesian inference
inference engine
decision theoretic
bayesian model