Valentin Churavy

Orcid: 0000-0002-9033-165X

According to our database1, Valentin Churavy authored at least 18 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Oceananigans.jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations.
CoRR, 2023

Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms.
CoRR, 2023

Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Bridging HPC Communities through the Julia Programming Language.
CoRR, 2022

Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Batched Second-Order Adjoint Sensitivity for Reduced Space Methods.
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

Productivity meets Performance: Julia on A64FX.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
Reverse-mode automatic differentiation and optimization of GPU kernels via enzyme.
Proceedings of the International Conference for High Performance Computing, 2021

2020
Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs.
J. Open Source Softw., 2020

Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs.
CoRR, 2019

Rapid software prototyping for heterogeneous and distributed platforms.
Adv. Eng. Softw., 2019

Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

2018
Dynamic Automatic Differentiation of GPU Broadcast Kernels.
CoRR, 2018

2016
Exploring the Space of Viable Configurations in a Model of Metabolism-Boundary Co-construction.
Artif. Life, 2016

2014
Quantifying Robustness in a Spatial Model of Metabolism-Boundary Co-Construction.
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014


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