- Distributed Computing Systems – technologies; architectures; models; operation and optimization; middleware and services.
- Research Infrastructure – networking; computing centre infrastructure; facility integration of heterogeneous resources; monitoring; decision support and management tools.
- Computing for MegaScience Projects (LHC, NICA, FAIR, SKA, PIC, XFEL, ELI, etc.)
- Distributed Computing Applications – in science; in education; in industry and business.
- HPC – supercomputers; CPU architectures; GPU; FPGA; HPC applications.
- Data Management, Organisation and Access – databases; distributed storage systems; data lakes.
- Virtualization – cloud computing; virtual machines; container technologies.
- Quantum information processing - Quantum machine learning; Quantum computing for HEP; Quantum communication; Quantum internet; Simulation of quantum information processing.
- Big Data Analytics and Machine Learning.
- Distributed computing, HPC and ML for solving applied tasks.
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