XLB: A differentiable massively parallel lattice Boltzmann library in Python-Reference-Cited by-同舟云学术

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XLB: A differentiable massively parallel lattice Boltzmann library in Python

Published:2024-07 Issue: Volume:300 Page:109187
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Ataei Mohammadmehdi^ORCID,Salehipour Hesam

Funder

Autodesk Inc

Publisher

Elsevier BV

Reference93 articles.

1. Compiler technologies in deep learning co-design: a survey;Zhang;Intell. Comput.,2023

2. MLIR: scaling compiler infrastructure for domain specific computation;Lattner,2021

3. Composable Transformations of Python+NumPy Programs;Bradbury,2018

4. Pytorch: An Imperative Style, High-Performance Deep Learning Library;Paszke,2019

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1. Data-driven methods for flow and transport in porous media: A review;International Journal of Heat and Mass Transfer;2024-12

2. Reduced-order modeling of unsteady fluid flow using neural network ensembles;Physics of Fluids;2024-07-01

3. Optimized GPU Implementation of Grid Refinement in Lattice Boltzmann Method;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

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