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Welcome on the website of the Swiss Geocomputing Centre of the University of Lausanne, Switzerland. We are part of the Faculty of Geosciences and Environment. Our centre is mainly interested in the development of high-performance geocomputing applications and algorithms. It federates interdisciplinary research across natural and human sciences, regrouping different fields from the geosciences into a dynamic and method oriented team.

The centre, affiliated to the P2i platform, is also devoted to teaching for a wide range of BSc, MSc and PhD level classes at the University of Lausanne. Introduction classes for BSc are designed to acquire the basics of numerical modelling, while MSc classes offer to students a large variety of geocomputing related projects to train their skills. Teaching local student is an important step enhancing the lateral spreading of supercomputing as promoted by CADMOS and supported by the CSCS at a national level.


News
  • Kick-off workshop preliminary program online ! Check here for program details and registration ! Workshop program is available, and registration are open. Register to follow keynotes, talks and poster sessions, as well as related social events.
  • Swiss Geocomputing Centre kick-off workshop 15-17 October 2018 Check here for details and registration ! Workshop preliminary program is available, and registration open soon. Register to follow keynotes, talks and poster sessions, as well as related social events.
  • Tesla V100 Nvlink GPU node High-performance GPU-based intensive compute node In less than a month, a new compute node will augment the current GPU-based systems available at the Swiss Geocomputing Centre. Acquired thanks to the support of the FINV – Unil fond, this intensive compute node ...
  • Ludovic Räss | Spontaneous formation of fluid escape pipes resolved in 3D “Ubiquitous observations of channelised fluid flow in the form of pipes or chimney-like features in sedimentary sequences provide strong evidence for significant transient permeability-generation in the subsurface. Understanding the mechanisms and dynamics for spontaneous flow localisation into fluid conductive chimneys ...
  • Kanevski’s group | Small-scale convolutional neural networks for land-cover scene classification Scene classification is an important and challenging problem in Earth observation remote sensing. The goal is to assign labels to satellite or airborne images according to a set of semantic categories (e.g. land-cover and land-use categories), and the difficulty comes ...

Blog
  • why C ? Why is the plain C language still so popular, and why it is nowadays still one of the most powerful programming language ? Answer and reflexion
  • Tesla V100 Nvlink GPU node High-performance GPU-based intensive compute node In less than a month, a new compute node will augment the current GPU-based systems available at the Swiss Geocomputing Centre. Acquired thanks to the support ...
  • the CLOUD …