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Paul Madden authored and/or contributed to the following articles/publications.
Experience Applying Fortran GPU Compilers to Numerical Weather Prediction
Abstract—Graphics Processing Units (GPUs) have enabled significant improvements in computational performance compared to traditional CPUs in several application domains. Until recently, GPUs have been programmed using C/C++ based methods such as CUDA (NVIDIA) and OpenCL (NVIDIA and AMD). Using these approaches, Fortran Numerical Weather Predicti...
Parallelization and Performance of the NIM Weather Model on CPU, GPU, and MIC Processors
The design and performance of the Non-Hydrostatic Icosahedral Model (NIM) global weather prediction model is described. NIM is a dynamical core designed to run on central processing unit (CPU), graphics processing unit (GPU), and Many Integrated Core (MIC) processors. It demonstrates efficient parallel performance and scalability to tens of thou...
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA