Maciej Wielgosz, Andrzej Skoczen, Matej Mertik
Tags: CUDA, Deep learning, Instrumentation and Detectors, Keras, LSTM, Machine learning, Neural networks, nVidia, Physics, RNN, Tesla K80, Theano
Cristian Maureira-Fredes, Pau Amaro-Seoane
Tags: Astrophysics, CUDA, Globular clusters, Gravitation, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenMP, Package, Physics, Tesla C2050, Tesla C2070, Tesla M2050
Hasitha Muthumala Waidyasooriya, Masanori Hariyama, Kota Kasahara
Claudio Bonati, Enrico Calore, Simone Coscetti, Massimo D'Elia, Michele Mesiti, Francesco Negro, Sebastiano Fabio Schifano, Giorgio Silvi, Raffaele Tripiccione
Tags: AMD FirePro W9100, ATI, Computational Physics, Heterogeneous systems, High Energy Physics - Lattice, nVidia, OpenACC, performance portability, Physics, QCD, Tesla K80, Tesla P100
M. A. Clark, Balint Joo, Alexei Strelchenko, Michael Cheng, Arjun Gambhir, Richard Brower
December 26, 2016 by
hgpuLong-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stocker, Xin-Nian Wang
Tags: CUDA, Deep learning, High Energy Physics - Phenomenology, Keras, Machine learning, Neural networks, Nuclear Theory, nVidia, Physics, QCD, TensorFlow, Tesla K20
December 20, 2016 by
hgpuFabio Baruffa, Luigi Iapichino, Nicolay J. Hammer, Vasileios Karakasis
December 20, 2016 by
hgpu