The SKA Data Challenges (SDC) are challenges organized around data between scientific teams from around the world to enable users of these future large instruments to appropriate the tools that will give them the ability to exploit them effectively. The second edition of this challenge, SKADC2, was a new step for the whole community to learn together about the joint efforts to be undertaken.
GENCI is extremely proud to have participated by providing accelerated computing resources from the #JeanZay supercomputer - one of France's three national supercomputers - to 5 teams involved in the challenge, in a coordinated manner with expert support from IDRIS/Centre national de la recherche scientifique (CNRS) and the Observatoire de la Côte d'Azur!
The MINERVA team from Paris Observatory | PSL with the Centre national de la recherche scientifique and partners from the Canadian Institute for Theoretical Astrophysics and the Strasbourg Astronomical Observatory, won this challenge after using an innovative approach based on machine learning performed on the GENCI-IDRIS/Centre national de la recherche scientifique supercomputer. Congratulations!
"While 1,000 hours of GPU computing resources have été allouées by IDRIS to the project MINERVA project to enable the dédevelopment of a mémachine learning method to better identify the content of astronomical images, This successès heralds promising future dédevelopments trèbetween HPC/AI and large-scale scientific instruments within the SKA project, in lineément with GENCI " said Philippe Lavocat, Chairman and CEO of GENCI.