User manuals for accessing software of the HybriLIT platform have been updated

Dear users, User manuals for accessing the following licensed software of the HybriLIT platform have been updated: COMSOL Maple Mathematica Matlab More information is available here: http://hlit.jinr.ru/hlit-vdi. If you have any questions/problems, please contact us at hybrilit@jinr.ru. The update is due to the end of support by Citrix. This implementation…

Re-registration

Dear users, We kindly remind you that user re-registration will be carried out from December, 1, 2023 – February, 1, 2024. Re-registration procedure is availale at: http://hlit.jinr.ru/en/re-registration_eng/ Regards, HybriLIT team

Expanding the ecosystem for machine learning, deep learning and data analytics (ML/DL/HPC) tasks

Dear users, Heterogeneous HybriLIT platform has expanded the ecosystem for machine learning, deep learning and data analytics (ML/DL/HPC) tasks. Moreover, a new server with 8 NVIDIA Tesla V100 16GB graphics cards with 512 GB of RAM has been added. The new ecosystem component is available at https://jhub3.jinr.ru. More detailed information…

Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems 2023 (ITTMM 2023)

The XII Conference (with international participation) “Information and telecommunication technologies and mathematical modeling of high-tech systems” will be held at Moscow, Russia on April 17-21, 2023. The Conference is supposed to take place in the scientific areas formed during the previous conferences of the Faculty of Science of RUDN University…

Re-registration procedure

Dear users of the HybriLIT platform! We would like to inform you that re-registration procedure at the HybriLIT should be completed by February 1, 2023. The procedure is simple: users (or leaders of the team) should fill the reporting form (find attached), check their contact and organization details, and also…

DLCP-2022 (July 6-8)

We are pleased to invite you to participate to the DLCP-2022 – The 6th International Workshop on Deep Learning in Computational Physics which will be held in the Meshcheryakov Laboratory of Information Technologies (MLIT) of the Joint Institute for Nuclear Research (JINR) on July 6-8, 2022.  The workshop will be held in a mixed format: face-to-face…