PROCESS: PROviding Computing solutions for ExaScale challengeS
Whole image histology slide with a resolution of approximatively 100K x 100K pixels with 40 different levels of detail. The analysis of one image by a Convolutional Neural Network requires the extraction of overlapping patches, hence may result in highly expensive computations.
The Leinbniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (Liebniz-Rechenzentrum, LRZ) will host the PROCESS infrastructure for exascale computing.
The SuperMUC is one of the most energy efficient supercomputers in the world, with more than 3 Petaflops peak performance, more than 155 thousand cpu cores and a 5 sided cave for Augmented Virtual Reality simulations.
- University of Amsterdam: Home
- Netherlands eScience Center
- Haute École spécialisée de Suisse occidentale Valais
- Lufthansa Systems, LSY
- INMARK Europa
- Ústav informatiky SAVs
- ACK Cyfronet AGH
The project has received funding from the European Union’s Horizon 2020 research and innovation program.