Copertina

Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Anthony, Hawkins, Linnia, Gentine, Pierre
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Distributed, Parallel, and Cluster Computing Atmospheric and Oceanic Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

In-situ data extraction for pathway analysis in an idealized atmosphere configuration of E3SM
di: Steyer, Andrew, et al.
Pubblicazione: (2024)

Accelerate Coastal Ocean Circulation Model with AI Surrogate
di: Xu, Zelin, et al.
Pubblicazione: (2024)

Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
di: Gong, Yuhao, et al.
Pubblicazione: (2024)

ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability
di: Wang, Xiao, et al.
Pubblicazione: (2024)

Towards Specialized Supercomputers for Climate Sciences: Computational Requirements of the Icosahedral Nonhydrostatic Weather and Climate Model
di: Hoefler, Torsten, et al.
Pubblicazione: (2024)

An efficient multi-GPU implementation for the Discontinuous Galerkin ocean model SLIM
di: Court, Miguel De Le, et al.
Pubblicazione: (2026)

Accelerating the Dutch Atmospheric Large-Eddy Simulation (DALES) model with OpenACC
di: Esclapez, Lucas, et al.
Pubblicazione: (2025)

Oceananigans.jl: A Julia library that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations
di: Silvestri, Simone, et al.
Pubblicazione: (2023)

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
di: Wang, Xiao, et al.
Pubblicazione: (2025)

Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT
di: Popovic, Miroslav, et al.
Pubblicazione: (2023)

JAX-LaB: A High-Performance, Differentiable, Lattice Boltzmann Library for Modeling Multiphase Fluid Dynamics in Geosciences and Engineering
di: Pradhan, Piyush, et al.
Pubblicazione: (2025)

Programming RISC-V accelerators via Fortran
di: Brown, Nick, et al.
Pubblicazione: (2025)

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
di: Behrens, Gunnar, et al.
Pubblicazione: (2024)

Fortran... ok, and what's next?
di: Magnin, Vincent, et al.
Pubblicazione: (2024)

Extending Contract Verification for Parallel Programming Models to Fortran
di: Oraji, Yussur Mustafa, et al.
Pubblicazione: (2026)

JAXMg: A multi-GPU linear solver in JAX
di: Wiersema, Roeland
Pubblicazione: (2026)

Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT
di: Sänger, Mario, et al.
Pubblicazione: (2023)

DrJAX: Scalable and Differentiable MapReduce Primitives in JAX
di: Rush, Keith, et al.
Pubblicazione: (2024)

Data-Driven Equation Discovery of a Cloud Cover Parameterization
di: Grundner, Arthur, et al.
Pubblicazione: (2023)

Technical Report: Towards Unified Diffusion Models for Multi-Model Climate Emulation at Scale
di: Immorlano, Francesco, et al.
Pubblicazione: (2025)

Fully integrating the Flang Fortran compiler with standard MLIR
di: Brown, Nick
Pubblicazione: (2024)

Revealing the Challenges of Attention-FFN Disaggregation for Modern MoE Models and Hardware Systems
di: Liu, Guowei, et al.
Pubblicazione: (2026)

Orbax: Distributed Checkpointing with JAX
di: Gaffney, Colin, et al.
Pubblicazione: (2026)

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP
di: Rodriguez-Canal, Gabriel, et al.
Pubblicazione: (2025)

Simulating the Air Quality Impact of Prescribed Fires Using Graph Neural Network-Based PM$_{2.5}$ Forecasts
di: Liao, Kyleen, et al.
Pubblicazione: (2023)

Power Ensemble Aggregation for Improved Extreme Event AI Prediction
di: Collard, Julien, et al.
Pubblicazione: (2025)

Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON
di: Heuer, Helge, et al.
Pubblicazione: (2023)

Proof-of-Behavior: Behavior-Driven Consensus for Trustworthy Decentralized Finance
di: Borjigin, Ailiya, et al.
Pubblicazione: (2025)

An ab initio spectroscopic model of the molecular oxygen atmospheric and infrared bands
di: Somogyi, Wilfrid, et al.
Pubblicazione: (2025)

Seamless acceleration of Fortran intrinsics via AMD AI engines
di: Brown, Nick, et al.
Pubblicazione: (2025)

Performance measurements of modern Fortran MPI applications with Score-P
di: Corbin, Gregor
Pubblicazione: (2025)

FLASH Viterbi: Fast and Adaptive Viterbi Decoding for Modern Data Systems
di: Deng, Ziheng, et al.
Pubblicazione: (2025)

MicroPython Testbed for Federated Learning Algorithms
di: Popovic, Miroslav, et al.
Pubblicazione: (2024)

Accelerating Python Applications with Dask and ProxyStore
di: Pauloski, J. Gregory, et al.
Pubblicazione: (2024)

Optimization-based Proof of Useful Work: Framework, Modeling, and Security Analysis
di: Cao, Weihang, et al.
Pubblicazione: (2024)

Proof of Team Sprint: A Collaborative Consensus Algorithm for Reducing Energy Consumption in Blockchain Systems
di: Yonezawa, Naoki
Pubblicazione: (2024)

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
di: Chen, Yinfang, et al.
Pubblicazione: (2025)

Parsl+CWL: Towards Combining the Python and CWL Ecosystems
di: Karle, Nishchay, et al.
Pubblicazione: (2024)

Colorless Tasks and Extension-Based Proofs
di: Shi, Yusong, et al.
Pubblicazione: (2023)

GICC: A High-Performance Runtime for GPU-Initiated Communication and Coordination in Modern HPC Systems
di: Shan, Baodi, et al.
Pubblicazione: (2026)