Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao
Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
Tags: Cloud, Computer science, Computer vision, CUDA, Deep learning, Machine learning, NLP, nVidia, nVidia DGX-2, nVidia GeForce RTX 2080 Ti, Performance, Tesla V100
Yehia Arafa, Abdel-Hameed Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan Eidenbenz
Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan X, nVidia Titan RTX, Performance, PTX, Tesla K40, Tesla P100, Tesla V100
Prasanth Chatarasi, Jun Shirako, Albert Cohen, Vivek Sarkar
Dominik Ernst, Georg Hager, Jonas Thies, Gerhard Wellein
Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes
Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John Anderson
Tags: Cloud, CUDA, Ising model, Machine learning, Monte Carlo simulation, Neural networks, nVidia, Package, Physics, Tesla V100, TPU
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
Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen
February 24, 2019 by
hgpu
