Contacts

Laboratory of high-performance and distributed computing

Contacts:

E-mail: icybcluster@gmail.com
Phone: +38(044) 526-32-09
Site: icybcluster.org.ua

1

Supercomputer complex SCIT

The total peak performance: 43 TFLOPS (trillion op. per sec.)

Performance of SCIT-4 on systems of linear equations: 18 TFLOPS

The total RAM: 2.5 TB (terabytes)

Parallel file storage: 170 TB

The unique advantages:
─ power saving system with queues and nodes management,
─ intellectual libraries for typical mathematical problems with integrated analysis, selection of algorithm and its parameters.

Application:  SCIT solves 40-50 thousand tasks per year (average time - 4 hours for one task); 11 cloud systems are working constantly; Ukrainian National Grid. Users - 12 of 14 departments of the National Academy of Sciences of Ukraine.

Typical usage: molecular dynamics (study of proteins, DNA, etc. - screening, docking, search for new drugs); quantum-chemical calculations (research of crystals and active centers of biomolecules); hydro- and aerodynamics (meteorological forecasting, monitoring of water resources, designing of buildings and machinery - ships, aircrafts, helicopters, power units, etc.); mathematics (hypotheses testing, theorems proof); processing of the Large Hadron Collider data; economy and so on.

 

References (2010-2015)

2010

  • I. Nazarenko, V. Tulchinsky, P. Tulchinsky. Optimization of big dataset processing in cluster systems. In Problems in Programming, 2010, No 2-3 (in Russian).
  • V. Tulchinsky, P. Tulchinsky, R. Iushchenko, O. Iushchenko. XML view applications for data integration in well geophisics. In Problems in Programming, 2010, No 2-3 (in Russian).
  • S. Lavreniuk, V. Tulchinsky. An intelligent grid service for solving statistical forecasting problems. In Cybernetics and Computer Engineering, 2010, vol.162, p.94-102 (in Russian).
  • A. Varanovich, V. Tulchinsky, E. Burmako, V. Falfushinsky and R. Sadykhov. Automated Software Development in Heterogeneous GPU/CPU Environments for Seismic Modeling. In proc. 72nd EAGE Conference & Exhibition incorporating SPE EUROPEC, Barcelona, 2010.
  • V. Tulchinsky, I. Nazarenko and O. Iushchenko. On Efficiency of Data Compression for Acceleration of Seismic Processing. In proc. 72nd EAGE Conference & Exhibition incorporating SPE EUROPEC, Barcelona, 2010.
  • Lavreniuk A., Lavreniuk S., Gripich Yu. Construction of grid node state database on the base of active experiment results. In proc. DCS- 2010, Kyiv, 2010, p. 22-25 (in Russian).
  • Lavreniuk S., Bandura A., Gorenko S. Comparison and selection of grid infrastructure. In proc. DCS-2010, Kyiv, 2010, p.32-35 (in Russian).
  • Lavreniuk S., Lavreniuk A., Gripich Yu. Grading performance of grid-time systems by operational analysis. In Computer Mathematics, 2010, No 1, p. 57-64 (in Russian).
  • Lavreniuk S., Shelestov A., Lavreniuk A. Multi-criteria analysis of the grid-system security risk violation. In Problems in Programming, 2010, No 2-3, p. 507-512. (in Ukrainian).
  • Lavreniuk S., Kopychko S., Gordienko R. Parameter estimation of grid node load to optimize its performance. In NTUU “KPI” News in Informatics, Operation and Computer Science, 2009, No 51, p. 192-196 (in Russian).
  • Gordienko R., Kopychko S., Lavreniuk S. Simulation of grid system for estimating the parameters of its components in terms of reliability criteria. In proc. SAIT 2010 (in Russian).
  • Lavreniuk S. Intelligent approach to simulation of grid-systems operating under uncertainty. In DNTU Scientific papers “Informatics, cybernetics and computer science”, 2010, 11(164), p. 141-146 (in Russian).
  • Lavreniuk S., Perevozchikova O., Tulchinsky V., Kharchrenko A. On automatic generation of numeric forecasts. In Computer Mathematics, 2010, No 2, p.52-61 (in Russian).
  • Lavreniuk S., Lavreniuk A., Kussul O.  Security policies development for satellite data grid-systems. In proc. 10th Ukrainian Conference on Space Research, Yevpatoriya, 2010 (in Ukrainian).
  • Golovynskyi A., Belous L., Malenko A. Web-portal of supercomputer management system. In Computational Methods and Programming, 2010, Vol 11(7) (in Russian).
  • Golovynskyi A. Graphical interface for supercomputer based on web-technologies. In Controlling Systems and Machines, 2010, No 3, p. 54-58 (in Russian).
  • Golovynskyi A., Malenko A. Supercomputing technology applications. In proc. of MINTT-2010, p. 42-46 (in Russian).
  • Kalenchuk-Porhanova A.O., Vakal L.P. Best Chebyshev approximation and its algorithmic and software implementation. In proc. “Computational methods and systems transformation of information”, Lviv, 7–8 october 2010, p. 233–236 (in Ukrainian).
  • Kalenchuk-Porhanova A.O., Vakal L.P. Using algorithms and software Chebyshev approximation in applied tasks. In proc. "Artificial Intelligence. Intelligent Systems (II-2010)", Doneck, 2010, vol. 1, p. 130–135 (in Russian).
  • Kalenchuk-Porhanova A.O. Vakal L.P. Application of Chebyshev best approximation for modelling some physical processes. In Mathematical and computer modeling, 2010, № 4,  p. 111–118. (in Ukrainian).
  • Melashchenko A., Scarlat O., Qualified public key infrastructure for the reforming state tax service. In proc. “Reforming the Tax Service of Ukraine in accordance with European standards”-2010, Kyiv, 2010 (in Ukrainian).
  • Melashchenko A., The mechanism of eInvocing in Ukraine. In Computer Mathematics, 2010, 1, p. 65-73. (in Ukrainian).
  • Melashchenko A., Perevozchokova O., Cross-certification in Ukraine. In Problems in Programming, 2010, No 1, p. 299-307 (in Ukrainian).
  • Melashchenko A., Perevozchokova O., Strelnikova J., Ontologies of financial and economic information store. In Problems in Programming, 2010, No 1, p. 419-428 (in Ukrainian).
  • Melashchenko A., Perevozchokova O., Test bench for interoperability of electronic signatures. In Kyiv Mohyla Academy Proceedings, 2010, 1, p. 54-61 (in Ukrainian).
  • Melashchenko A., Guljanitsky L., Syrenko S., Model of optimal service of external debt of Ukraine. In Control Systems and Machines, 2010, No 1 (in Ukrainian).
  • Melashchenko A., Perevozchokova O. Organization of qualified public key infrastructure. Kyiv: Naukova Dumka, 2010 – 510 p. (in Ukrainian).

2011

  • S. Lavreniuk, Y. Roganov, V. Tulchinsky and O. Kolomiyets. Synergy of 2.5D approach and grid technology for synthesis of realistic 3D/3C seismograms in anisotropic media. In proc. 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC, Vienna, 2011.
  • V. Falfushinsky, V. Tulchinsky, O. Roganova and R. Iushchenko. Wavelet Compression for Grid Computing of 3D Synthetic Seismograms. In proc. 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC, Vienna, 2011.
  • S. Lavreniuk, O. Perevozchikova, V. Tulchinsky. Grid service “Predictor” for solving problems of statistical forecasting. In proc. HPC-UA’11, Kiev, 2011, p. 88–92 (in Russian).
  • V. Tulchinsky and R. Iushchenko. Decomposition of finite-difference elastic modelling for computing synthetic seismograms in grid. In proc. HPC-UA 2011, Kiev, 2011 (in Russian).
  • V. Tulchinsky, O.Perevozchikova, A.Smolarz, W.Surtel. Chapter 3: Multiprocessor Computing Structures. In Modeling and Optimization, ed. J.Sikora, W.Wojcik. Lublin, Politechnika Lubelska, 2011, p. 147-238.
  • Lavreniuk S., Perevozchikova O. Identifying the optimal method of predicting the utilization of cluster resources and grid nodes. In Cybernetics and Systems Analysis, 2011, 47(2), p. 311-315.
  • Golovynskyi A., Malenko A. Supercomputer scheduler performance analysis. In proc. HPC-UA, 2011, p. 64-69 (in Russian).
  • Golovynskyi A., Malenko A., Gorenko S., Bandura O. Architecture of GPU nodes for computing cluster. In proc. HPC-UA, 2011, p. 70-75 (in Russian).
  • Kalenchuk-Porhanova A.O. Vakal E.S. Using Chebyshev approximations for solving mixed problems for partial differential equations. In Bulletin HNTU, 2011, 3(42), p. 119–123 (in Russian).
  • Kalenchuk-Porhanova A.O., Vakal L.P.  Best Chebyshev approximation as the high-performance computing apparatus. In proc. HPC-UA’2011, Kyiv, 2011, p. 228–231 (in Russian).
  • Melashchenko A., Perevozchokova O., Scarlat O. The file format for long-term storage of electronic documents. In proc. “Science and social problems of society”, Kharkiv, 2011 (in Russian).
  • Melashchenko A., Scarlat O. The principles of operation of the test bench validation archives of electronic documents. In proc. “Actual problems of computer technologies”, Khmelnickyi, 2011 (in Russian).
  • Melashchenko A., Perevozchokova O., Scarlat O. Electronic identification. In proc. “Computational intelligence (results, problems and perspectives)”, Cherkasy, 2011 (in Russian).
  • Melashchenko A., Perevozchokova O., Scarlat O. Test bench archives of electronic documents. In proc. “Theoretical and Applied Aspects of Cybernetics”, Kyiv, 2011 (in Russian).
  • Melashchenko A., Perevozchikova O. The national system of digital signatures as an open system. In Cybernetics and Systems Analysis, 47(5), p. 827-834.
  • Melashchenko A., Perevozchokova O. Scarlat O., The file format for long-term storage of electronic documents. In Computer Mathmatics, 2011, 1 (in Russian).
  • Melashchenko A. Applicability of qualified public key infrastructure in Ukraine. In Problems in Programming, 2011, 2 (in Russian).
  • Melashchenko A. National localization of electronic signatures in modern office suites. In Problems in Programming, 2011, 3 (in Russian).
  • Melashchenko A., The introduction of XBRL as an international standard organization of fiscal reporting in Ukraine. In Control and Informatics Problems, 2011, 5 (in Russian).

2012

  • N. Marmalevskyi, V. Mershchii, Y. Roganov, V. Tulchinsky, R. Iushchenko. Using CUDA for rapid synthesis of 3D seismograms by 2.5D model. In Computing in Geology, 2012, No 1, p.26-31 (in Russian).
  • V. Tulchinsky. When supercomputer works worse then PC. In Supercomputers, 2012, 1(9), 9-19 (in Russian).
  • V. Tulchinsky, R. Iushchenko and Y. Roganov. Acceleration of 2.5D Elastic Anisotropic Modelling. In proc. 74th EAGE Conference & Exhibition incorporating SPE EUROPEC, Copenhagen, 2012.
  • V. Tulchinsky, Wójcik W., Suleimenov B. Undersampling and its applications. In Current problems in information and communication technologies, ed. W.Wójcik, J.Sikora – Lublin: Politechnika Lubelska, 2012, P. 9-60.
  • V. Tulchinsky, V. Falfushinsky. Games with memory (experiments in crossbreeding GPU and neurocomputing). In Supercpomputers, 4(12), 50-54 (in Russian).
  • Lavreniuk A., Lavreniuk S. Computing optimization of using OpenCL for "vector" and "scalar" GPUs. In Computer Mathematics, 2012, No 1, p.102-110 (in Ukrainian).
  • Lavreniuk A., Lavreniuk S. An approach to general application of OpenCL programming language for different GPUs. In Problems in Programming, 2012, No 2-3, p. 77-84 (in Ukrainian).
  • Lavreniuk A., Lavreniuk S. An approach to selection of GPU in heterogeneous cluster to optimize computing. In Cluster Computing’2012, Kyiv, 2012, p. 52-55 (in Ukrainian).
  • P. Tulchinsky. On integrated solution of computer management of geological and geophysical data. In Karotazhnik (Well Logger), 2012, vol. 215 (in Russian).
  • Golovynskyi A., Malenko A., Belous L., Barannik S. Supercomputer management system SCMS. In proc. PAVT, 2012, p. 421–425 (in Russian).
  • Golovynskyi A., Malenko A. Supercomputer scheduler performance analysis. In proc. HPC-UA, 2011, p 64-69 (in Russian).
  • Golovynskyi A., Malenko A., Gorenko S., Bandura O. Architecture of GPU nodes for computing cluster. In proc. HPC-UA, 2011, p 70-75 (in Russian).
  • Golovynskyi A., Belous L., Malenko A. Web-portal of supercomputer management system. In Computational methods and programming, 2010, 11(7).
  • Golovynskyi A. Graphical interface for supercomputer based on web-technologies. In Controlling systems and machines, 2010, 3, p. 54-58 (in Russian).
  • Golovynskyi A., Malenko A. Supercomputing technology applications. In proc. MINTT-2010, p. 42-46 (in Russian).
  • Kalenchuk-Porhanova A.O. Ways to improve the efficiency of calculations using of the apparatus of best Chebyshev approximation. In proc. HPC-UA’2012, Kyiv, 2012, p. 198–202 (in Russian).
  • Melashchenko A., Scarlat O., Implementation of the primary electronic documents. In Computer Mathematics, 2012, 1, P 78-84 (in Ukrainian).
  • Melashchenko A., Perevozchokova O., Scarlat O., The stand of validation archived electronic documents. In Problems in Programming, 2012, 1, p. 91-99 (in Ukrainian).
  • Melashchenko A., Scarlat O., Implementation of the legal validity of electronic documents. In Problems in Programming, 2012, No 2-3 (in Ukrainian).

2013

  • V. Falfushinsky, O.Skarlat, V. Tulchinsky. Cloud computing platform in grid infrastructure. In proc. PDCS-13, Kharkiv, 2013 (in Russian).
  • V. Tulchinsky, R. Iushchenko. Undersampling to accelerate computations. In proc. PDCS-13, Kharkiv, 2013.
  • V. Falfushinsky, O.Skarlat, V. Tulchinsky. Integration of Cloud Computing Platform to Grid Infrastructure. In International Journal of Computing, 2013, 12(4).
  • A. Golovynskyi, A. Malenko, I. Sergienko, V. Tulchinsky. Power efficient supercomputer SCIT-4. In News of National Academy of Sciences of Ukraine, 2013, No. 2, p. 50-59 (in Ukrainian).
  • S. Barannik, A. Golovynskyi, A. Malenko, O. Dyomin. Grid-system for medical data storage as technology fusion example. In  proc. “Scintillation technology trends”. Kharkiv, 2013, p 205-213 (in Russian).
  • A. Golovynskyi, A. Malenko, V. Cherepynets. IT-infrastructure as a basis of innovative development of science and industry. In proc. Computer Science and Information Technologies Conference, September 23-27, 2013, Yerevan, Armenia, p. 371-372.
  • S. Barannik, A. Golovynskyi, A. Malenko, O. Dyomin. On the possibilities of the interactive mode for the processing of medical data in the Grid-system for storing medical images. In proc. HPC-UA, 2013, p. 45-47 (in Russian).
  • S. Barannik, A. Golovynskyi, A. Malenko, O. Dyomin. On the possibilities of parallel data processing in grid medical data storage system for improving decease diagnostics. In proc. Cluster Computing’13, 2013, p. 22-25 (in Russian).
  • Lavreniuk S., Lavreniuk A., Nazarenko E. Optimization of processing big volumes of seismic data on example of 3D duplex wave migration. In HPC-UA’2013, Kyiv, p. 229-232 (in Russian).
  • Kalenchuk-Porhanova A.O.  Methods of interpolation and approximation RMS as part of libraries for the cluster. In proc. HPC-UA’2013 (in Russian).
  • Kalenchuk-Porhanova A.O. Vakal L.P., Basok N.V. The automated system of ecological monitoring as priority factor in the sustainable development of society. In proc. “Modern science: problems, achievements and prospects of development”, Kyiv, 2013,  p. 268–270 (in Russian).
  • Kalenchuk-Porhanova A.O. Vakal L.P. Best Chebyshev approximation - experience and prospects of use. In proc. “The issue optimization calculations (PОО–XL)”, Kyiv, 2013, p. 108–109 (in Russian).
  • Melashchenko A., Scarlat O. The model of the evolution of the paperwork. In Computer Mathematics, 2013, 1, p. 76-84 (in Ukrainian).
  • Melashchenko A., Scarlat O. Electronic paperwork. Kyiv: Naulova Dumka, 2013 – 140 p. (in Ukrainian).

2014

  • Falfushinskyi V., Tulchynskyi V., Malikov S. Harnessing database-in-memory cloud services for geophysical data processing. In proc. HPC-UA’13, Kyiv, 2014 (in Russian).
  • Lavreniuk A., Lavreniuk S., Nazarenko E. An approach to optimization of software for processing big volumes of seismic data on example of 3D duplex wave migration. In Computer Mathematics, 2014, No 1, p.69-75 (in Russian).
  • P. Tulchinsky. On service enterprise problems of geophysical data management. In proc. int. conf. “Victor Glushkov, the Pioneer of Cybernetics”, 2014 (in Russian).
  • Kalenchuk-Porhanova A.O. Applied information support of computing with cluster architecture. In proc. «V.М.Glushkov, the Pioneer of Cybernetics», Kyiv, 2014, p. 50–51 (in Russian).
  • Kalenchuk-Porhanova A.O., Basok N.V. Implementation of the principles of functioning OGAS in sponsoring environmental monitoring systems. In proc. «V.М.Glushkov, the Pioneer of Cybernetics», Kyiv, 2014, p. 24–25 (in Russian).

2015

  • Lavreniuk A., Lavreniuk S. Aspects of C ++ AMP application for big seismic data processing on high performance clusters with GPGPU. In proc. SAIT 2015 (in Ukrainian).
  • Tulchinsky P., Roganov V., Lavreniuk A., Lavreniuk S. An optimized method of data processing to estimate azimuth of fracturing by wave acoustic well logs, In Computer Mathematics (in print).
  • Kalenchuk-Porhanova A.O., Basok N.V. Subsystem to simulate changes of the oxygen regime in waterways. In Computer Mathematics, in print (in Russian).
  • Kalenchuk-Porhanova A.O., Basok N.V. Modelling of processes in groundwater horizons. In Computer Mathematics, in print (in Russian).