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ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

9 August 2017

Hatem Ltaief

Papers citing "ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems"

23 / 23 papers shown

Title
A Generalized Unified Skew-Normal Process with Neural Bayes Inference Kesen Wang M. Genton SyDa 460 0 0 26 Nov 2024
Accelerating Mixed-Precision Out-of-Core Cholesky Factorization with Static Task Scheduling Jie Ren Hatem Ltaief Sameh Abdulah David E. Keyes LRM 42 2 0 13 Oct 2024
Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression Hatem Ltaief Rabab Alomairy Qinglei Cao Jie Ren Lotfi Slim Thorsten Kurth Benedikt Dorschner Salim Bougouffa Rached Abdelkhalak David E. Keyes 41 3 0 03 Sep 2024
Robust Maximum $L_q$ -Likelihood Covariance Estimation for Replicated Spatial Data Sihan Chen Joydeep Chowdhury M. Genton 18 0 0 24 Jul 2024
Implementation and Analysis of GPU Algorithms for Vecchia Approximation Zachary James Joseph Guinness 71 0 0 03 Jul 2024
Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications Xiran Zhang Sameh Abdulah JIAN-PENG Cao Hatem Ltaief Ying Sun M. Genton David E. Keyes 27 1 0 18 May 2024
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations Qilong Pan Sameh Abdulah M. Genton David E. Keyes Hatem Ltaief Ying Sun 47 2 0 12 Mar 2024
On the Impact of Spatial Covariance Matrix Ordering on Tile Low-Rank Estimation of Matérn Parameters Sihan Chen Sameh Abdulah Ying Sun M. Genton 26 1 0 14 Feb 2024
Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers Sameh Abdulah J. Ejarque Omar Marzouk Hatem Ltaief Ying Sun M. Genton Rosa M. Badia David E. Keyes 13 0 0 04 Dec 2023
Minibatch Markov chain Monte Carlo Algorithms for Fitting Gaussian Processes Matthew J. Heaton Jacob A. Johnson 51 1 0 26 Oct 2023
Which Parameterization of the Matérn Covariance Function? Kesen Wang Sameh Abdulah Ying Sun M. Genton 44 5 0 28 Aug 2023
Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study A. Hazra Pratik Nag Rishikesh Yadav Ying Sun 66 4 0 10 Aug 2023
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling Lisa Gaedke-Merzhäuser E. Krainski R. Janalík H. Rue Olaf Schenk 100 2 0 27 Mar 2023
Vecchia Approximations and Optimization for Multivariate Matérn Models Youssef A. Fahmy J. Guinness 10 2 0 17 Oct 2022
Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach M. Pereira N. Desassis D. Allard 36 10 0 26 Aug 2022
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework Sudipto Banerjee 49 13 0 09 Sep 2021
Identification of unknown parameters and prediction with hierarchical matrices A. Litvinenko Ronald Kriemann V. Berikov 8 0 0 14 Apr 2021
High Performance Multivariate Geospatial Statistics on Manycore Systems M. L. Salvaña Sameh Abdulah Huang Huang Hatem Ltaief Ying Sun M. Genton David E. Keyes 23 0 0 03 Aug 2020
spNNGP R package for Nearest Neighbor Gaussian Process models Andrew O. Finley A. Datta S. Banerjee 40 27 0 24 Jan 2020
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization Sameh Abdulah Hatem Ltaief Ying Sun M. Genton David E. Keyes 43 20 0 08 Jan 2020
Efficiency Assessment of Approximated Spatial Predictions for Large Datasets Yiping Hong Sameh Abdulah M. Genton Ying Sun 88 10 0 11 Nov 2019
Large-scale Environmental Data Science with ExaGeoStatR Sameh Abdulah Yuxiao Li JIAN-PENG Cao Hatem Ltaief David E. Keyes M. Genton Ying Sun 58 10 0 23 Jul 2019
Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets A. Litvinenko Ying Sun M. Genton David E. Keyes 41 52 0 08 Sep 2017