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ORCIDValentin Churavy
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2020 – today
- 2023
[c10]Michel Schanen
, Sri Hari Krishna Narayanan, Sarah Williamson, Valentin Churavy, William S. Moses, Ludger Paehler:
Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations. ICCS (3) 2023: 483-497- [c9]William F. Godoy, Pedro Valero-Lara, T. Elise Dettling, Christian Trefftz, Ian Jorquera, Thomas Sheehy, Ross G. Miller, Marc González Tallada, Jeffrey S. Vetter, Valentin Churavy:
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. IPDPS Workshops 2023: 373-382 - [i10]William F. Godoy, Pedro Valero-Lara, T. Elise Dettling, Christian Trefftz, Ian Jorquera, Thomas Sheehy, Ross G. Miller, Marc González Tallada, Jeffrey S. Vetter, Valentin Churavy:
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. CoRR abs/2303.06195 (2023) - [i9]Utkarsh Rajput, Valentin Churavy, Yingbo Ma, Tim Besard, Tim Gymnich, Adam R. Gerlach, Alan Edelman, Christopher Rackauckas:
Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms. CoRR abs/2304.06835 (2023) - [i8]Simone Silvestri, Gregory LeClaire Wagner, Christopher Hill, Matin Raayai Ardakani, Johannes P. Blaschke, Jean-Michel Campin, Valentin Churavy, Navid C. Constantinou, Alan Edelman, John Marshall, Ali Ramadhan, Andre Souza, Raffaele Ferrari:
Oceananigans.jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations. CoRR abs/2309.06662 (2023) - 2022
- [c8]Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole:
Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems. CLUSTER 2022: 12-22 - [c7]Mosè Giordano, Milan Klöwer, Valentin Churavy:
Productivity meets Performance: Julia on A64FX. CLUSTER 2022: 549-555 - [c6]François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. PP 2022: 60-71 - [c5]William S. Moses, Sri Hari Krishna Narayanan, Ludger Paehler, Valentin Churavy, Michel Schanen, Jan Hückelheim, Johannes Doerfert, Paul D. Hovland:
Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation. SC 2022: 60:1-60:18 - [i7]François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. CoRR abs/2201.00241 (2022) - [i6]Mosè Giordano, Milan Klöwer, Valentin Churavy:
Productivity meets Performance: Julia on A64FX. CoRR abs/2207.12762 (2022) - [i5]Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole:
Bring the BitCODE - Moving Compute and Data in Distributed Heterogeneous Systems. CoRR abs/2208.01154 (2022) - [i4]Valentin Churavy, William F. Godoy, Carsten Bauer, Hendrik Ranocha, Michael Schlottke-Lakemper, Ludovic Räss, Johannes P. Blaschke, Mosè Giordano, Erik Schnetter, Samuel Omlin, Jeffrey S. Vetter, Alan Edelman:
Bridging HPC Communities through the Julia Programming Language. CoRR abs/2211.02740 (2022) - 2021
- [c4]William S. Moses, Valentin Churavy, Ludger Paehler, Jan Hückelheim, Sri Hari Krishna Narayanan, Michel Schanen, Johannes Doerfert:
Reverse-mode automatic differentiation and optimization of GPU kernels via enzyme. SC 2021: 61 - 2020
- [j3]Ali Ramadhan, Gregory LeClaire Wagner, Chris Hill, Jean-Michel Campin, Valentin Churavy, Tim Besard, Andre Souza, Alan Edelman, Raffaele Ferrari, John Marshall:
Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs. J. Open Source Softw. 5(53): 2018 (2020) - [c3]William S. Moses, Valentin Churavy:
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. NeurIPS 2020 - [i3]William S. Moses, Valentin Churavy:
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. CoRR abs/2010.01709 (2020)
2010 – 2019
- 2019
- [j2]Tim Besard, Valentin Churavy, Alan Edelman, Bjorn De Sutter:
Rapid software prototyping for heterogeneous and distributed platforms. Adv. Eng. Softw. 132: 29-46 (2019) - [c2]Liu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston:
Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. DLS@SC 2019: 1-11 - [i2]Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston, Prabhat, George E. Karniadakis:
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. CoRR abs/1910.13444 (2019) - 2018
- [i1]Jarrett Revels, Tim Besard, Valentin Churavy, Bjorn De Sutter, Juan Pablo Vielma:
Dynamic Automatic Differentiation of GPU Broadcast Kernels. CoRR abs/1810.08297 (2018) - 2016
- [j1]Eran Agmon, Alexander J. Gates, Valentin Churavy, Randall D. Beer:
Exploring the Space of Viable Configurations in a Model of Metabolism-Boundary Co-construction. Artif. Life 22(2): 153-171 (2016) - 2014
- [c1]Eran Agmon, Alexander J. Gates, Valentin Churavy, Randall D. Beer:
Quantifying Robustness in a Spatial Model of Metabolism-Boundary Co-Construction. ALIFE 2014: 514-521
Coauthor Index
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