"HybriLIT" Heterogeneous platform is a part of the Multifunctional Information and ComputingComplex (MICC) of the Laboratory of Information Technologies named after MG Meshcheryakov ofJINR, Dubna. Heterogeneous platform consists of Govorun supercomputer and HybriLIT educationand testing polygon. Data storage and processing system is one of the platform components. It isimplemented using distributed and parallel filesystems (NFS, EOS, Lustre). Platform performancedepends on many factors, including performance of storage and file systems.The best storage performance for wide variety of user jobs may be obtains with optimal filesystemparameters. The number of tests of local filesystems (EXT family and XFS) was carried out. Therewere empirically obtained an optimal parameters o data storage system at which the performance havebeen high results.The new methodology was developed for analyzing the obtained measurements of IOPS (input-outputoperations per second) and Latency (milliseconds) for results evaluations.Various filesystems were analyzed by the developed methodology. The conclusion was drawn aboutof optimal parameters of the investigated filesystems.

The “Govorun” supercomputer is a heterogeneous computing system that contains computingarchitectures of different types, including graphics accelerators. The given architecture of thesupercomputer allows users to choose optimal computing facilities for their tasks.To enhance the efficiency of solving user tasks, as well as to expand the efficiency of utilizing bothcomputing resources and data processing and storage resources, a number of special IT solutions havebeen implemented on the “Govorun” supercomputer. A hierarchical hyperconverged data processingand storage system with a software-defined architecture is referred to the first type of IT solutions. Theimplementation of this system is caused by the fact that modern supercomputers are used not only astraditional computing environments for carrying out massively parallel calculations, but also assystems for Big Data analysis and artificial intelligence tasks that arise in different scientific andapplied tasks. The second type of IT solutions lies in resource orchestration, which means thatcomputational elements (CPU cores and graphics accelerators) and data storage elements (SSDs) formindependent computing and data storage fields. Due to it, the user can allocate for his task the requirednumber and type of compute nodes (including the required number of graphics accelerators), as wellas the required volume and type of data storage systems.