J. Scott Gardner

According to our database, J. Scott Gardner authored at least 2 papers in 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

High-Performance Deep-Learning Coprocessor Integrated into x86 SoC with Server-Class CPUs Industrial Product.

G. Glenn Henry, Parviz Palangpour, Michael Thomson, J. Scott Gardner, Bryce Arden, Jim Donahue, Kimble Houck, Jonathan Johnson, Kyle O'Brien, Scott Petersen, Benjamin Seroussi, Tyler Walker

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020