Valentin Churavy
Cited by
Cited by
Rapid software prototyping for heterogeneous and distributed platforms
T Besard, V Churavy, A Edelman, B De Sutter
Advances in engineering software 132, 29-46, 2019
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
W Moses, V Churavy
Advances in neural information processing systems 33, 12472-12485, 2020
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
L Yang, S Treichler, T Kurth, K Fischer, D Barajas-Solano, J Romero, ...
2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS), 1-11, 2019
Oceananigans. jl: Fast and friendly geophysical fluid dynamics on GPUs
A Ramadhan, G Wagner, C Hill, JM Campin, V Churavy, T Besard, ...
Journal of Open Source Software 5 (53), 2020
Exploring the space of viable configurations in a model of metabolism–boundary co-construction
E Agmon, AJ Gates, V Churavy, RD Beer
Artificial Life 22 (2), 153-171, 2016
Reverse-mode automatic differentiation and optimization of GPU kernels via Enzyme
WS Moses, V Churavy, L Paehler, J Hückelheim, SHK Narayanan, ...
Proceedings of the International Conference for High Performance Computing …, 2021
On machine learning and programming languages
M Innes, S Karpinski, V Shah, D Barber, P Saito Stenetorp, T Besard, ...
Association for Computing Machinery (ACM), 2018
MPI. jl: Julia bindings for the Message Passing Interface
S Byrne, LC Wilcox, V Churavy
Proceedings of the JuliaCon Conferences 1 (1), 68, 2021
Uncertainty quantification of ocean parameterizations: Application to the K‐profile‐parameterization for penetrative convection
AN Souza, GL Wagner, A Ramadhan, B Allen, V Churavy, J Schloss, ...
Journal of Advances in Modeling Earth Systems 12 (12), e2020MS002108, 2020
Dynamic automatic differentiation of GPU broadcast kernels
J Revels, T Besard, V Churavy, B De Sutter, JP Vielma
arXiv preprint arXiv:1810.08297, 2018
Quantifying robustness in a spatial model of metabolism-boundary co-construction
E Agmon, A Gates, V Churavy, R Beer
Artificial Life Conference Proceedings, 514-521, 2014
Large-eddy simulations with ClimateMachine v0. 2.0: a new open-source code for atmospheric simulations on GPUs and CPUs
A Sridhar, Y Tissaoui, S Marras, Z Shen, C Kawczynski, S Byrne, ...
Geoscientific Model Development Discussions 2021, 1-41, 2021
Transparent distributed programming in Julia
VVR Churavy
Massachusetts Institute of Technology, 2019
Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems
W Lu, LE Peña, P Shamis, V Churavy, B Chapman, S Poole
2022 IEEE International Conference on Cluster Computing (CLUSTER), 12-22, 2022
Productivity meets Performance: Julia on A64FX
M Giordano, M Klöwer, V Churavy
2022 IEEE International Conference on Cluster Computing (CLUSTER), 549-555, 2022
How composable software tools in Julia help developing multi-physics codes in geodynamics
B Kaus, N Berlie, V Churavy, M Cosarinsky, T Duretz, D Kiss, J Kozdon, ...
EGU22, 2022
Batched second-order adjoint sensitivity for reduced space methods
F Pacaud, M Schanen, DA Maldonado, A Montoison, V Churavy, ...
Proceedings of the 2022 SIAM Conference on Parallel Processing for …, 2022
Bridging HPC Communities through the Julia Programming Language
V Churavy, WF Godoy, C Bauer, H Ranocha, M Schlottke-Lakemper, ...
arXiv preprint arXiv:2211.02740, 2022
Scalable automatic differentiation of multiple parallel paradigms through compiler augmentation
WS Moses, SHK Narayanan, L Paehler, V Churavy, M Schanen, ...
Proceedings of the International Conference on High Performance Computing …, 2022
Fast, friendly, flexible, and fun ocean modeling on CPUs and GPUs in Julia with Oceananigans. jl
C Hill, G Wagner, A Ramadhan, F Poulin, H Guo, V Churavy
AGU Fall Meeting Abstracts 2021, IN22A-06, 2021
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