Tutorial on 17th of April 2019 at 15.00, Conference Hall, LIT JINR

Deep and Machine Learning methods for document clustering and classification Dr. Alexei I. Streltsov (Senior Data Scientist, SAP SE, Germany) and HybriLIT heterogeneous computation team in frames of the XXIII International Scientific Conference of Young Scientists and Specialists (AYSS-2019) on the basis of the developed ecosystem for ML/DL. In this …

Workshop on parallel programming technologies

HybriLIT Team from Laboratory of Information Technologies of the Join Institute for Nuclear Research with colleagues from the Institute of the Experimental and Applied Physics, Faculty of Electrical Engineering University of West Bohemia and Department of Mathematics and Theoretical Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Kosice …

Tutorial on optimisation of parallel applications for computations on latest Intel architectures

The training course by Intel will be held on September 26, 2018 (Wednesday) at the Laboratory of Information Technologies, room 407. Training will be held on the heterogeneous computing platform HybriLIT. To participate in the event, please fill the registration form via link. In case you have any particular questions to be answered by Intel and HybriLIT teams …

HybriLIT Team participated in the The First International School on Heterogeneous Computing Infrastructure

HybriLIT Team participated in the First International School “Problems of big data processing, analysis and management in a distributed heterogeneous computing environment for high-intensity fields of science and business applications”. The school was held at the Institute of Cybernetics of Tomsk National Research Polytechnic University (TPU) on December 7-10, Tomsk, …

Accessing distributed computing resources using DIRAC services

Accessing distributed computing resources using DIRAC services I. Pelevanjuk, A. Tsaregorodtsev Tuesday 13 Desember 2016 at 16.00 Room 310, LIT, JINR Data intensive applications requiring simultaneous use of large amounts of computing resources are becoming quite common. This domain was pioneered by High Energy Physics (HEP) experiments at the LHC …