Contributions to a conference proceedings

Simulated and experimental data processing is an important issue in modern high-energy physics experiments. High interaction rate and particle multiplicity in addition to the long sequential processing time of million events are the main reasons to parallelize event processing on distributed computing systems for the NICA experiments [...]

The next phase of LHC Operations – High Luminosity LHC (HL-LHC), which is aimed at ten-fold increase in the luminosity of proton-proton collisions at the energy of 14 TeV, is expected to start operation in 2027-2028 and will deliver an unprecedented scientific data volume of multi-exabyte scale. This amount of data has to be stored and the corresponding storage system should ensure fast and reliable data delivery for processing by scientific groups distributed all over the world. [...]

A substantial data volume growth will appear with the start of the HL-LHC era. It is not well coveredby the current LHC computing model, even taking into account the hardware evolution. [...]

MPDRoot is the software framework for simulation, reconstruction and physics analysis of the simulated and experimental data for MPD experiment at NICA. It is planned to obtain ~ 108 events of heavy ion collisions for physics analysis, hence it is crucial to have the effective and efficient methodology of the systematic performance improvement of MPDRoot’s backend [...]

The amount of data produced by the scientific community is already measured in tens and hundreds ofpetabytes and will significantly grow in the future. High-throughput computing systems have provento be a solution for handling such data streams. [...]

Since 2019, the COMPASS experiment has been running on the Frontera high-performance computer.This is a large machine (number 5 in the ranking of the most powerful supercomputers in 2019).Details of software setup and approaches to organizing data processing on this machine are presentedin the article..

The implementation of COMPASS data processing in the distributed environment started in 2015.Since the summer of 2017, the data processing system has been working in a production mode,distributing jobs to two traditional Grid sites: CERN and JINR. There are two storage elements, bothat CERN: EOS disk storage for short-term storage and Castor tape storage for long-term storage.Processing management services, including the MySQL server, PanDA servers, the APF/Harvesterserver, a monitoring server, and a production management server, are deployed in the JINR CloudService. [...]