Title
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation Huayu Deng Xiangming Zhu Yunbo Wang Xiaokang Yang PINN AI4CE 29 0 0 03 Oct 2024
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars Wesley Brewer Aditya Kashi Sajal Dash A. Tsaris Junqi Yin Mallikarjun Shankar Feiyi Wang 38 0 0 24 Jun 2024
Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data Anurag Mishra Ronen Gold Sanjeev Vijayakumar AI4CE 19 0 0 24 May 2024
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe Christopher Rae Joseph K. L. Lee James Richings Michele Weiland 30 1 0 16 Apr 2024
A Reinforcement Learning Based Backfilling Strategy for HPC Batch Jobs Elliot Kolker-Hicks Di Zhang Dong Dai 17 3 0 14 Apr 2024
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach Yixuan Sun O. Sowunmi Romain Egele S. Narayanan Luke Van Roekel Prasanna Balaprakash 30 1 0 07 Apr 2024
A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates Zirui Mao Xinyi Li Shenyang Hu Ganesh Gopalakrishnan Ang Li 12 3 0 09 Nov 2023
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training Truong Thao Nguyen Balazs Gerofi Edgar Josafat Martinez-Noriega Franccois Trahay M. Wahib 24 1 0 16 Oct 2023
Evaluating Loss Functions and Learning Data Pre-Processing for Climate Downscaling Deep Learning Models Xingying Huang 14 0 0 19 Jun 2023
Evaluating the Potential of Disaggregated Memory Systems for HPC applications Nan Ding Pieter Maris H. Nam Taylor L. Groves M. Awan ... C. Daley Oguz Selvitopi L. Oliker N. Wright Samuel Williams 11 5 0 06 Jun 2023
Unsupervised Discovery of Extreme Weather Events Using Universal Representations of Emergent Organization Adam T. Rupe K. Kashinath Nalini Kumar James P. Crutchfield 17 0 0 25 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems Ivica Kicic Pantelis R. Vlachas G. Arampatzis Michail Chatzimanolakis Leonidas J. Guibas P. Koumoutsakos AI4CE 22 6 0 04 Apr 2023
Graph Neural Rough Differential Equations for Traffic Forecasting Jeongwhan Choi Noseong Park AI4TS 22 16 0 20 Mar 2023
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection Chia-Yu Hsu Wenwen Li AAML FAtt 11 34 0 16 Mar 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts Pantelis R. Vlachas P. Koumoutsakos AI4TS AI4CE 18 7 0 22 Feb 2023
Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning Takaaki Fukai Kento Sato Takahiro Hirofuchi 28 2 0 04 Jan 2023
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems Jiangsu Du Dongsheng Li Yingpeng Wen Jiazhi Jiang Dan Huang Xia Liao Yutong Lu 16 0 0 07 Dec 2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition Lizhi Xiang Miao Yin Chengming Zhang Aravind Sukumaran-Rajam P. Sadayappan Bo Yuan Dingwen Tao 3DV 20 8 0 07 Nov 2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates Baixi Sun Xiaodong Yu Chengming Zhang Jiannan Tian Sian Jin K. Iskra Tao Zhou Tekin Bicer Pete Beckman Dingwen Tao 19 1 0 01 Nov 2022
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization Kyurae Kim Youngjae Kim Sungyong Park 21 12 0 12 Jun 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review S. Salcedo-Sanz Jorge Pérez-Aracil G. Ascenso Javier Del Ser D. Casillas-Pérez ... D. Barriopedro R. García-Herrera Marcello Restelli M. Giuliani A. Castelletti AI4Cl 25 13 0 03 Jun 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting Jeongwhan Choi Hwangyong Choi JeeHyun Hwang Noseong Park BDL AI4TS 90 265 1 07 Dec 2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression Sian Jin Chengming Zhang Xintong Jiang Yunhe Feng Hui Guan Guanpeng Li S. Song Dingwen Tao 25 23 0 18 Nov 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 19 22 0 11 Nov 2021
Closing the "Quantum Supremacy" Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer Yong Xin Liu Xin Liu Fang Li ... Huarong Chen Chu Guo Heliang Huang Wenzhao Wu Dexun Chen LRM 20 133 0 27 Oct 2021
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems S. Farrell M. Emani J. Balma L. Drescher Aleksandr Drozd ... Akihiro Tabuchi V. Vishwanath M. Wahib Masafumi Yamazaki Junqi Yin VLM 32 35 0 21 Oct 2021
NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs Xiandong Huang Qinglin Wang Shuyu Lu Ruochen Hao Songzhu Mei Jie Liu 21 7 0 25 Sep 2021
JUWELS Booster -- A Supercomputer for Large-Scale AI Research Stefan Kesselheim A. Herten K. Krajsek J. Ebert J. Jitsev ... A. Strube Roshni Kamath Martin G. Schultz M. Riedel T. Lippert GNN 23 14 0 30 Jun 2021
Flare: Flexible In-Network Allreduce Daniele De Sensi Salvatore Di Girolamo Saleh Ashkboos Shigang Li Torsten Hoefler 30 40 0 29 Jun 2021
PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling Björn Lütjens Catherine H. Crawford Mark S. Veillette Dava Newman 12 10 0 05 May 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 43 100 0 26 Apr 2021
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks A. Kahira Truong Thao Nguyen L. Bautista-Gomez Ryousei Takano Rosa M. Badia M. Wahib 15 9 0 19 Apr 2021
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems A. Abdelmoniem Ahmed Elzanaty Mohamed-Slim Alouini Marco Canini 51 74 0 26 Jan 2021
Will Artificial Intelligence supersede Earth System and Climate Models? C. Irrgang Niklas Boers Maike Sonnewald E. Barnes C. Kadow J. Staneva J. Saynisch‐Wagner AI4Cl AI4CE 17 181 0 22 Jan 2021
Clairvoyant Prefetching for Distributed Machine Learning I/O Nikoli Dryden Roman Böhringer Tal Ben-Nun Torsten Hoefler 31 55 0 21 Jan 2021
Integrating Deep Learning in Domain Sciences at Exascale Rick Archibald E. Chow E. DÁzevedo Jack J. Dongarra M. Eisenbach ... Florent Lopez Daniel Nichols S. Tomov Kwai Wong Junqi Yin PINN 18 5 0 23 Nov 2020
Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows Jan Ackmann P. Düben T. Palmer P. Smolarkiewicz AI4Cl AI4CE 19 17 0 06 Oct 2020
Hierarchical Roofline Performance Analysis for Deep Learning Applications Charlene Yang Yunsong Wang S. Farrell Thorsten Kurth Samuel Williams 6 15 0 11 Sep 2020
Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation Drew Schmidt B. Messer M. T. Young Michael A. Matheson 4 0 0 05 Sep 2020
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism Yosuke Oyama N. Maruyama Nikoli Dryden Erin McCarthy P. Harrington J. Balewski Satoshi Matsuoka Peter Nugent B. Van Essen 3DV AI4CE 24 37 0 25 Jul 2020
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design Shusen Liu B. Kailkhura Jize Zhang A. Hiszpanski Emily Robertson Donald Loveland T. Y. Han 12 2 0 16 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 53 81 0 02 Jul 2020
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques S. Hari Michael B. Sullivan Timothy Tsai S. Keckler 21 66 0 08 Jun 2020
A Linear Algebraic Approach to Model Parallelism in Deep Learning Russell J. Hewett Thomas J. Grady FedML 15 16 0 04 Jun 2020
Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers D. Brayford S. Vallecorsa 14 8 0 20 May 2020
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI J. Livezey Joshua I. Glaser AI4CE 16 9 0 19 May 2020
Deep Learning for Post-Processing Ensemble Weather Forecasts Peter Grönquist Chengyuan Yao Tal Ben-Nun Nikoli Dryden P. Dueben Shigang Li Torsten Hoefler 17 165 0 18 May 2020
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging Shigang Li Tal Ben-Nun Giorgi Nadiradze Salvatore Di Girolamo Nikoli Dryden Dan Alistarh Torsten Hoefler 21 14 0 30 Apr 2020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere Jonathan A. Weyn Dale Durran R. Caruana AI4Cl 29 256 0 15 Mar 2020
WeatherBench: A benchmark dataset for data-driven weather forecasting S. Rasp P. Dueben S. Scher Jonathan A. Weyn Soukayna Mouatadid Nils Thuerey AI4Cl AI4TS 13 424 0 02 Feb 2020