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<\/h2>\nhttps:\/\/cordis.europa.eu\/project\/rcn\/216615\/factsheet\/en<\/span><\/a><\/p>\n The Leinbniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (Liebniz-Rechenzentrum, LRZ) will host the PROCESS infrastructure for exascale computing.<\/p>\n 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.\u00a0<\/span><\/p>\n 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. https:\/\/cordis.europa.eu\/project\/rcn\/216615\/factsheet\/en The Leinbniz Supercomputing Centre of … <\/p>\n![\"Whole](\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2017\/11\/path.png\")
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.<\/span><\/p>\n![\"Leibniz-Rechenzentrum](\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2017\/11\/a-smooth-sea-never-made-a-skilled-sailor.-200x300.png\")
Publications<\/a><\/h2>\n
Project members<\/h2>\n
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Team members<\/h2>\n
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Acknowledgements<\/h2>\n
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\u00a0The project has received funding from the European Union’s Horizon 2020 research and innovation program.<\/p>\n","protected":false},"excerpt":{"rendered":"