Разработване и изследване на квази-Монте Карло алгоритми за екстремно паралелни компютърни системи

Публикации:
  1. V. Koleva-Efremova, "Testing performance and scalability of the pure MPI model versus hybrid MPI-2/OpenMP model on the heterogeneous supercomputer Avitohol", Book chapter in: Advanced Computing in Industrial Mathematics (K. Georgiev, M. Todorov and I. Georgiev eds), Springer book series "Studies in Computational Intelligence", Vol 793, pp. 93-106, to appear 2019, DOI: 10.1007/978-3-319-97277-0_30, SJR:0.184 (2017).
  2. V. Koleva-Efremova , T. Gurov, "Optimizing parallel CFD simulations for modelling a trimaran through OpenFoam", AIP Conference Proceedings 2025, 110003, 110003-1 - 110003-7 (2018), DOI: 10.1063/1.5064964 , ISBN: 978-0-7354-1745-8, SJR: 0.165 (2017).
  3. T. Simchev, "Elastic High-Performance Computing Platform for Real-Time Data Analysis", AIP Conference Proceedings 2025, 110005, 110005-1 - 110005-6 (2018), DOI: 10.1063/1.5064948, ISBN: 978-0-7354-1745-8, SJR: 0.165 (2017).
  4. E. Atanassov, T. Gurov, M. Durchova, S. Ivanovska, A. Karaivanova, Study of Scalability and Energy Efficiency of QMC Algorithmd on Hybrid HPC Systems, Proceedings of Int. Conf. "Numerical methods for Scientific Computations and Advanced Applications" (NMSCAA'18), editor Kr. Georgiev, Fastprint, pp. 6-9, 2018, ISBN: 978-954-91700-7-8.
  5. V. Koleva-Efremova, Testing performance and scalability of the hybrid MPI-2/OpenMP model on the heterogeneous supercomputer "Avitohol", 12th Annual meeting of Bulgarian Section of SIAM, Dec 20-22, 2017, BGSIAM'17 (extended abstract), pp. 58-59, Dec 2017, Fastumprint, ISSN: 1313-3357, ISSN: 1314-7145 (electronic).
  6. Vyara Koleva-Efremova,"Testing performance and scalability of the pure MPI model versus hybrid MPI-2/OpenMP model on the heterogeneous supercomputer Avitohol", Book chapter in: Advanced Computing in Industrial Mathematics ( K. Georgiev, M. Todorov and I. Georgiev eds), Springer book series "Studies in Computational Intelligence", Vol 793, pp. 93-106, to appear 2019, DOI: 10.1007/978-3-319-97277-0_30, SJR=0.184(2017).
  7. V. Alexandrov, D. Davila, O.Esquivel-Flores, A. Karaivanova, T. Gurov, E. Atanassov, On Monte Carlo and Quasi-Monte Carlo for Matrix Computation, LNCS 2018, volume 10665, 2018, pp. 249-257, DOI: 10.1007/978-3-319-73441-5, SJR= 0.295 (2017).
  8. E. Atanassov, T. Gurov,S. Ivanovska,A. Karaivanova, T. Simchev, On the Parallel Implementation of Quasi-Monte Carlo Algorithms, LNCS 2018, volume 10665, 2018, pp. 258-265, DOI 10.1007/978-3-319-73441-5, SJR= 0.295 (2017) .
  9. A. Karaivanova, V. Alexandrov, T. Gurov, S. Ivanovska - On the Monte Carlo Matrix Computations on Intel MIC Architecture, CYBERNETICS AND INFORMATION TECHNOLOGIES, Volume 17, No 5, 2017, pp. 49-59, Print ISSN: 1311-9702; Online ISSN: 1314-4081 DOI: 10.1515/cait-2017-0054, SJR= 0.204 (2017).
  10. D. Dimitrov, E. Atanassov, Tools and services for High Performance Computing: Accounting Services for Heterogeneous Computing Resources, CYBERNETICS AND INFORMATION TECHNOLOGIES, Volume 17, No 5, 2017, pp. 81-88, Print ISSN: 1311-9702; Online ISSN: 1314-4081 DOI: 10.1515/cait-2017-0054, SJR= 0.204 (2017).
  11. T.Gurov, E. Atanassov, A. Karaivanova, R. Serbezov and N. Spassov, "Statistical Estimation of Brown Bears (Ursus arctos L.) Population in the Rhodope Mountains", Procedia Computer Science, Volume 108, 2017, pp. 2028-2037, (Open Access), http://dx.doi.org/10.1016/j.procs.2017.05.272, SJR= 0.258 (2017).
  12. E. Atanassov,T. Gurov, S. Ivanovska and A. Karaivanova, "Parallel Monte Carlo on Intel MIC Architecture", Procedia Computer Science, 2017, Volume 108, pp. 1803-1810, (Open Access), https://doi.org/10.1016/j.procs.2017.05.149, SJR: 0.258 (2017).
  13. Hr. Kostadinov, N. Manev, "Symbol and Bit Error Probability for Coded TQAM in AWGN Channel", Procedia Computer Science, Vol. 108, 2017, pp. 2110 - 2118, (Open Access), https://doi.org/10.1016/j.procs.2017.05.205, SJR= 0.258 (2017).
  14. R. Hristova, I. Hristov, Standing waves in systems of perturbed sine-gordon equations , Studies in Computational Intelligence, Advanced Computing in Industrial Mathematics, Springer, Volume 681, pp. 53-59, 2017, DOI 10.1007/978-3-319-49544-6_5, SJR= 0.184 (2017) link.
  15. A. Radenski, T. Gurov, et al., Big Data Techniques, Systems, Applications and Platforms: Case Studies from Academia, in "Annals of Computer Science and Information Systems", Volume 8, "Proceedings of the 2016 Federated Conference on Computer Science and Information Systems" FedCSIS'16, pp. 883 - 888, Sep, 2016, DOI:http://dx.doi.org/10.15439/978-83-60810-90-3.
  16. E. Atanassov, T. Gurov, A. Karaivanova, S. Ivanovska, M. Durchova and D. Dimitrov , On the Parallelization Approaches for Intel MIC Architecture, Citation: AIP Conf. Proc. 1773, 070001 (2016), http://dx.doi.org/10.1063/1.4964983, SJR= 0.165 (2017).
  17. T.Gurov, A. Karaivanova, V.Alexsandrov, Energy Study of Monte Carlo and Quasi-Monte Carlo Algorithms for Solving Integral Equations, Procedia Computer Science, Volume 80, 2016, pp. 1897-1905, http://dx.doi.org/10.1016/j.procs.2016.05.492 , SJR= 0.258 (2017).
  18. V. Alexandrov, O. Esquivel-Flores, S. Ivanovska, A. Karaivanova, On the Preconditioned quasi-Monte Carlo Algorithm for Matrix Computations, Springer LNCS, Volume 9374, 2015, pp. 163-171, SJR=0.295 (2017).
  19. E. Atanassov, T. Gurov, A. Karaivanova, Energy Performance Evaluation of quasi-Monte Carlo Algorithms on hybrid HPC, Springer LNCS, Volume 9374, 2015, pp. 172-181, SJR= 0.295 (2017).
  20. N. Manev, On the Relation Between Matrices and the Greatest Common Divisor of Polynomials, Springer LNCS, Volume 9374, pp. 191-199, 2015, SJR= 0.295 (2017).
  21. E. Atanassov, T. Gurov , A. Karaivanova, Energy Aware Performance Study for a Class of Computationally Intensive Monte Carlo Algorithms, in: J. Computers and Mathematics with Applications, 2015, DOI: 10.1016/j.camwa.2015.07.014., IF=1.531 (2016).
  22. E. Atanassov, M. Durchova, T. Gurov, S. Ivanovska, A. Karaivanova, On Improving the QRN Generation Performance on Intel MIC Architectures, Proceedings of Int. Conf. "Numerical methods for Scientific Computations and Advanced Applications" (NMSCAA'16), editor Kr. Georgiev, Fastprint, pp. 7-10, 2016, ISBN: 978-619-7223-18-7.
  23. T. Gurov, A. Karaivanova, Editors of Special issue "Two Years Avitohol: Advanced High Performance Computing Applications 2017", Journal CIT, volume17, No 5, 2017, DOI: 10.1515/cait-2017-0049.
  24. N. Simonov (invited scientist), Monte Carlo Algorithms for Problems with Partially Reflecting Boundaries, LNCS 2018, volume 10665, 2018, pp. 258-265, DOI 10.1007/978-3-319-73441-5, SJR=0.295 (2017).
  25. D. Dimitrov, E. Atanassov, T. Gurov, Evaluation of Stochastic Algorithms for Financial Mathematics Problems from Point of View of Energy-efficiency, AIP Conference proceeding 1684, 060001-1-060001-6; DOI: 10.1063/1.4934300, 2015, SJR= 0.165 (2017).
  26. A. Karaivanova, S. Ivanovska, T. Gurov, Monte Carlo for density reconstruction based on insufficient data, Procedia Computer Science 12/2015; Volume 51, pp. 1782-1790, DOI:10.1016/j.procs.2015.05.390, 2015, SJR= 0.258 (2017).
  27. E. Atanassov, T. Gurov, A. Karaivanova, Parallel Grid Applications, Book chapter in "Grid Computing: Techniques, Applications and Future Prospects", eds: Jorde Barbosa and Ines Dutra, Nova Science Publishers Inc., USA, June 2015, status: published), pp. 129-156, 2015, ISBN: 978-1-63117-704-0.
  28. Hr. Kostadinov, N. Manev, Error Correcting Codes and Their Usage in Steganography and Watermarking, Proceedings of the 38th MIPRO2015 Conference, Opatija, Croatia, pp. 349 - 352, 2015, ISBN: 978-953-233-083-0.
  29. E. Atanassov, A. Karaivanova, T. Gurov, On the Security Issues in High Performance Computing, BGSIAM'15 Proceedings (extended abstract), Dec 2015, pp. 6-7, ISSN:1313-3357.
  30. D. Georgiev, T. Gurov, E. Atanassov, Parallel Genetic Algorithms on Intel MIC Architecture, BGSIAM'15 Proceedings (extended abstract), Dec 2015, pp. 18-19, ISSN:1313-3357.
  31. V. Alexandrov, O. Esquivel-Flores, T. Gurov, A. Karaivanova, On Efficient Monte Carlo and quasi-Monte Carlo Preconditioners and Hybrid Methods for Linear Algebra, BGSIAM'15 Proceedings (abstract), pp. 3, Dec 2015, ISSN:1313-3357
За повече информация за ДФНИ-И02/8:

доцент д-р Тодор Гюров

ИИКТ, БАН Акад. Г. Бончев 25A

София, България

Тел: +359 2979 6639

Mail:gurov(at)bas(dot)bg