high performance computing on graphics processing units: hgpu.org

hgpu.org » Weather Prediction Model

Productive Performance Engineering for Weather and Climate Modeling with Python

Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann Dahm, Oliver Elbert, Rhea George, Jeremy McGibbon, Lukas Trümper, Elynn Wu, Oliver Fuhrer, Thomas Schulthess, Torsten Hoefler

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, Python, Tesla A100, Tesla P100, Weather Prediction Model

May 15, 2022 by hgpu

Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models

Jonathan A. Weyn, Dale R. Durran, Rich Caruana, Nathaniel Cresswell-Clay

View

Download (PDF)

Tags: Deep learning, Earth and Space Sciences, Neural networks, nVidia, Tesla V100, Weather prediction, Weather Prediction Model

February 14, 2021 by hgpu

New High Performance GPGPU Code Transformation Framework Applied to Large Production Weather Prediction Code

Michel Muller, Takayuki Aoki

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla P100, Weather prediction, Weather Prediction Model

March 3, 2018 by hgpu

Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model

Michel Muller, Takayuki Aoki

View

Download (PDF)

Source codes

Tags: Earth and Space Sciences, Fortran, nVidia, OpenACC, OpenMP, Package, Tesla K20, Tesla P100, Weather prediction, Weather Prediction Model

October 29, 2017 by hgpu

Parallelization and Performance of the NIM Weather Model on CPU, GPU and MIC Processors

Mark Govett, Jim Rosinski, Jacques Middlecoff, Tom Henderson, Jin Lee, Alexander MacDonald, Ning Wang, Paul Madden, Julie Schramm, Antonio Duarte

View

Download (PDF)

Tags: Earth and Space Sciences, Intel Xeon Phi, nVidia, OpenACC, Tesla K80, Weather prediction, Weather Prediction Model

July 19, 2017 by hgpu

Parallelization and Performance of the NIM Weather Model for CPU, GPU and MIC Processors

Mark Govett, Jim Rosinski, Jacques Middlecoff, Tom Henderson, Jin Lee, Alexander MacDonald, Paul Madden, Julie Schramm, Antonio Duarte

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Fortran, Intel Xeon Phi, nVidia, OpenACC, Tesla K80, Weather prediction, Weather Prediction Model

December 6, 2016 by hgpu

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Wim Vanderbauwhede

View

Download (PDF)

Source codes

Tags: Earth and Space Sciences, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Weather prediction, Weather Prediction Model

April 12, 2015 by hgpu

Enhancing Efficiency of the RRTMG Radiation Code with GPU and MIC Approaches for Numerical Weather Prediction Models

Michael J. Iacono, David Berthiaume

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, Tesla M2070, Weather prediction, Weather Prediction Model

September 5, 2014 by hgpu

Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES

Mohamed Wahib, Naoya Maruyama

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, OpenACC, Tesla K20, Tesla M2075, Weather Prediction Model

November 29, 2013 by wahibium

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Rey DeLeon, Kyle Felzien, Inanc Senocak

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, GPU cluster, MPI, nVidia, Tesla S1070, Weather prediction, Weather Prediction Model

September 28, 2013 by hgpu

GPU Implementation of Iterative Solvers in Numerical Weather Predicting Models

Sinan Shi

View

Download (PDF)

Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, Tesla C2050, Thesis, Weather Prediction Model

February 7, 2013 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Productive Performance Engineering for Weather and Climate Modeling with Python

Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models

New High Performance GPGPU Code Transformation Framework Applied to Large Production Weather Prediction Code

Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model

Parallelization and Performance of the NIM Weather Model on CPU, GPU and MIC Processors

Parallelization and Performance of the NIM Weather Model for CPU, GPU and MIC Processors

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Enhancing Efficiency of the RRTMG Radiation Code with GPU and MIC Approaches for Numerical Weather Prediction Models

Highly Optimized Full GPU-Acceleration of Non-hydrostatic Weather Model SCALE-LES

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

GPU Implementation of Iterative Solvers in Numerical Weather Predicting Models

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)