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06/14/2023
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
Modern climate projections lack adequate spatial and temporal resolution...
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10/21/2022
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Data-driven models, such as FourCastNet (FCN), have shown exemplary perf...
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12/29/2020
Scalable Parallel Linear Solver for Compact Banded Systems on Heterogeneous Architectures
A scalable algorithm for solving compact banded linear systems on distri...
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12/14/2020
NVIDIA SimNet^TM: an AI-accelerated multi-physics simulation framework
We present SimNet, an AI-driven multi-physics simulation framework, to a...
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03/18/2020
ContainerStress: Autonomous Cloud-Node Scoping Framework for Big-Data ML Use Cases
Deploying big-data Machine Learning (ML) services in a cloud environment...
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03/04/2020
Turbulence Enrichment using Physics-informed Generative Adversarial Networks
Generative Adversarial Networks (GANs) have been widely used for generat...
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03/04/2020