This course aims to cover state-of-the-art methods in modern parallel Graphical Processing Unit (GPU) computing, supercomputing and code development with applications to natural sciences and engineering.

Features

  • Solving partial differential equations in parallel on GPUs
  • Course material, exercises and extra resources are available on the course website
  • Detailed course description is available on the ETHZ course catalogue
  • Solving physical processes: advection, reaction, diffusion & wave propagation
  • Spatial and temporal discretisation: finite-differences and explicit time-stepping
  • Multi-GPU computing and optimizations

Project Samples

101-0250-00 Screenshot 1

Project Activity

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Categories

Data Visualization

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-06
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