Title
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization Sameh Abdulah Hatem Ltaief Ying Sun M. Genton David E. Keyes 16 20 0 08 Jan 2020
MetH: A family of high-resolution and variable-shape image challenges Ferran Parés Dario Garcia-Gasulla Harald Servat Jesús Labarta Eduard Ayguadé 11 0 0 20 Nov 2019
Progressive Compressed Records: Taking a Byte out of Deep Learning Data Michael Kuchnik George Amvrosiadis Virginia Smith 11 9 0 01 Nov 2019
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The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters Daning Cheng Hanping Zhang Fen Xia Shigang Li Yunquan Zhang 6 1 0 25 Oct 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics Pantelis R. Vlachas Jaideep Pathak Brian R. Hunt T. Sapsis M. Girvan Edward Ott Petros Koumoutsakos AI4TS 19 383 0 09 Oct 2019
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets S. A. Jacobs B. Van Essen D. Hysom Jae-Seung Yeom Tim Moon ... J. Gaffney Tom Benson Peter B. Robinson L. Peterson B. Spears BDL AI4CE 22 17 0 05 Oct 2019
Accelerating Data Loading in Deep Neural Network Training Chih-Chieh Yang Guojing Cong 17 36 0 02 Oct 2019
Deep learning at scale for subgrid modeling in turbulent flows Mathis Bode M. Gauding K. Kleinheinz H. Pitsch AI4CE 11 21 0 01 Oct 2019
Exascale Deep Learning to Accelerate Cancer Research Robert M. Patton J. T. Johnston Steven R. Young Catherine D. Schuman T. Potok ... Junghoon Chae L. Hou Shahira Abousamra Dimitris Samaras Joel H. Saltz 16 15 0 26 Sep 2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems Adam T. Rupe Nalini Kumar V. Epifanov K. Kashinath O. Pavlyk ... M. Patwary Sergey Maidanov Victor W. Lee M. Prabhat James P. Crutchfield AI4CE 22 19 0 25 Sep 2019
Exascale Deep Learning for Scientific Inverse Problems N. Laanait Josh Romero Junqi Yin M. T. Young Sean Treichler V. Starchenko A. Borisevich Alexander Sergeev Michael A. Matheson FedML BDL 27 29 0 24 Sep 2019
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs Xuhui Meng Zhen Li Dongkun Zhang George Karniadakis PINN AI4CE 22 442 0 23 Sep 2019
Heterogeneity-Aware Asynchronous Decentralized Training Qinyi Luo Jiaao He Youwei Zhuo Xuehai Qian 11 8 0 17 Sep 2019
Towards Unsupervised Segmentation of Extreme Weather Events Adam T. Rupe K. Kashinath Nalini Kumar Victor W. Lee P. Prabhat James P. Crutchfield 18 3 0 16 Sep 2019
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Shigang Li Tal Ben-Nun Salvatore Di Girolamo Dan Alistarh Torsten Hoefler 9 58 0 12 Aug 2019
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics D. Lunga Jonathan Gerrand Lexie Yang Chris Layton R. Stewart 30 33 0 08 Aug 2019
HPC AI500: A Benchmark Suite for HPC AI Systems Zihan Jiang Wanling Gao Lei Wang Xingwang Xiong Yuchen Zhang ... Yunquan Zhang Shengzhong Feng KenLi Li Weijia Xu Jianfeng Zhan ELM 16 40 0 27 Jul 2019
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing Mike Innes Alan Edelman Keno Fischer Chris Rackauckas Elliot Saba Viral B. Shah Will Tebbutt PINN 19 183 0 17 Jul 2019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale A. G. Baydin Lei Shao W. Bhimji Lukas Heinrich Lawrence Meadows ... Philip H. S. Torr Victor W. Lee Kyle Cranmer P. Prabhat Frank D. Wood 25 55 0 08 Jul 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 26 549 0 11 Jun 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 22 784 0 10 Jun 2019
Combining crowd-sourcing and deep learning to explore the meso-scale organization of shallow convection S. Rasp H. Schulz S. Bony B. Stevens 24 54 0 05 Jun 2019
Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks Victor Schmidt A. Luccioni S. Mukkavilli Narmada M. Balasooriya Kris Sankaran J. Chayes Yoshua Bengio GAN 14 36 0 02 May 2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism Nikoli Dryden N. Maruyama Tom Benson Tim Moon M. Snir B. Van Essen 18 49 0 15 Mar 2019