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09/13/2023
Oceananigans.jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations
Climate models must simulate hundreds of future scenarios for hundreds o...
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04/13/2023
Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms
We demonstrate a high-performance vendor-agnostic method for massively p...
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03/10/2023
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes
We explore the performance and portability of the high-level programming...
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11/04/2022
Bridging HPC Communities through the Julia Programming Language
The Julia programming language has evolved into a modern alternative to ...
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08/01/2022
Bring the BitCODE – Moving Compute and Data in Distributed Heterogeneous Systems
In this paper, we present a framework for moving compute and data betwee...
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07/26/2022
Productivity meets Performance: Julia on A64FX
The Fujitsu A64FX ARM-based processor is used in supercomputers such as ...
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01/01/2022
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods
This paper presents an efficient method for extracting the second-order ...
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10/04/2020
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
Applying differentiable programming techniques and machine learning algo...
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10/29/2019
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Uncertainty quantification for forward and inverse problems is a central...
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10/18/2018