Zhe Jia, Marco Maggioni, Jeffrey Smith, Daniele Paolo Scarpazza
Roberto Carrasco, Raimundo Vega, Cristóbal A. Navarro
Steven W. D. Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter
Tags: Benchmarking, Computer science, CUDA, Deep learning, FFT, Heterogeneous systems, HPC, Machine learning, nVidia, nVidia Quadro K420, OpenMPI, Package, Performance, Python, TensorFlow, Tesla K80, Tesla V100
Paul Sathre, Mark Gardner, Wu-chun Feng
Tags: AMD FirePro S9150, ATI, Computer science, CUDA, FPGA, Intel Xeon Phi, nVidia, OpenCL, Package, performance portability, Tesla K80
Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre
Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler
Andrew Gloster, Lennon O'Naraigh
Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen
February 24, 2019 by
hgpuDaniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viegas, Martin Wattenberg
Tags: Computer science, CUDA, Deep learning, Java, Machine learning, nVidia, nVidia GeForce GTX 1080, OpenGL, Package, TensorFlow, WebGL
February 17, 2019 by
hgpuPeifeng Yu, Mosharaf Chowdhury
February 17, 2019 by
hgpuCanhui Wang, Xiaowen Chu
February 17, 2019 by
hgpu
