Daniel 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
hgpuDavid Pfander, Gregor Daiss, Dirk Pfluger
Tags: Clustering, Computer science, Data mining, Distributed computing, Heterogeneous systems, Machine learning, MPI, nVidia, OpenCL, Package, performance portability, Tesla P100
February 10, 2019 by
hgpuZeyi Wen, Jiashuai Shi, Bingsheng He, Qinbin Li, Jian Chen
Matheus Henrique Junqueira Saldanha, Paulo Sérgio Lopes de Souza
Field G. Van Zee, Devangi N. Parikh, Robert A. van de Geijn
Mohamed W. Hassan, Ahmed E. Helal, Peter M. Athanas, Wu-Chun Feng, Yasser Y. Hanafy
Aajna Karki, Chethan Palangotu Keshava, Spoorthi Mysore Shivakumar, Joshua Skow, Goutam Madhukeshwar Hegde, Hyeran Jeon
Tags: Benchmarking, Computer science, CUDA, Deep learning, FPGA, Machine learning, Neural networks, nVidia, nVidia Jetson TX1, OpenCL, Package
Jun Hyung Shin, Florin Rusu, Alex Suhan
Elena Agostini, Massimo Bernaschi
Tags: AES, ATI, ATI Radeon HD 7990, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, nVidia GeForce GTX Titan X, OpenCL, Package, Security, Tesla K80, Tesla P100, Tesla V100
