Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici
Tags: AI, Artificial intelligence, cache, CNN, Computer science, cpu, CUDA, Deep learning, GPU, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 1080 Ti
Javier Duarte, Song Han, Philip Harris, Sergo Jindariani, Edward Kreinar, Benjamin Kreis, Jennifer Ngadiuba, Maurizio Pierini, Nhan Tran, Zhenbin Wu
Mohsen Imani, Max Masich, Daniel Peroni, Pushen Wang, Tajana Rosing
Yosuke Oyama, Tal Ben-Nun, Torsten Hoefler, Satoshi Matsuoka
Baptiste Wicht, Jean Hennebert, Andreas Fischer
Kamel Abdelouahab, Maxime Pelcat, Jocelyn Serot, Francois Berry
Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Mehdi Goli, Luke Iwanski, John Lawson, Uwe Dolinsky, Andrew Richards
Philippe Tillet, David Cox
Tags: Auto-Tuning, Computer science, CUDA, Deep learning, nVidia, nVidia GeForce GTX 980 Ti, OpenCL, Package, Performance, PTX, Tesla P100
February 17, 2018 by
hgpuTianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Tags: Artificial intelligence, Computer science, CUDA, Deep learning, FPGA, Machine learning, nVidia, nVidia GeForce GTX 1080, OpenCL, Package, performance portability, TensorFlow, Tesla K80
February 15, 2018 by
hgpu
