- Technology
- Computer Science
- Distributed Systems
- High Performance Computing
- Parallel Computing
- GPU Programming
- CUDA
- Technology
- Computer Science
- Distributed Systems
- High Performance Computing
- Parallel Computing
- OpenCL
- Technology
- Computer Science
- Distributed Systems
- High Performance Computing
- Parallel Computing
- GPU Computing
GPU Acceleration of a Global Atmospheric Model Using Python Based Multi-Platform
EuroPython Conference via YouTube
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Explore a talk from EuroPython 2017 that delves into GPU acceleration of global atmospheric models using a Python-based multi-platform approach. Learn about the challenges of running atmospheric models on CPU machines and the potential benefits of utilizing modern microprocessors like NVIDIA GPU and Intel MIC. Discover PyMIP (Python based Machine Independent Platform), a new Python module developed to integrate C, Fortran, CUDA, and OpenCL codes with a simple user interface. Understand how PyMIP enables users to switch between different hardware platforms with ease. Gain insights into the development of a new global atmospheric model based on PyMIP and its computational performance results on NVIDIA GPU. This 29-minute presentation offers valuable knowledge for those interested in high-performance computing, atmospheric modeling, and Python-based solutions for cross-platform development.
Syllabus
Ki-Hwan Kim - GPU Acceleration of a Global Atmospheric Model using Python based Multi-platform
Taught by
EuroPython Conference