Publications 2014, 2015, 2016

  1. 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”, ed. Kr. Georgiev, Fastprint, 2016, ISBN:978-619-7223-18-7, pp.7-10.
  2. E. Atanassov, T. Gurov, A. Karaivanova, S. Ivanovska, M. Durchova,, D. Dimitrov, On the parallelization approaches for Intel MIC architecture. AIP Conference Proceedings, 1773, AIP Publishing, 2016, ISBN:978-073541431-0, ISSN:0094-243X, DOI:10.1063/1.4964983, 070001-1-070001-9. SJR:0.165(2016).
  3. E. Atanassov, A. Karaivanova, T. Gurov, Services and Infrastructure for Virtual Research Environments – For Use By Science And Business, International Scientific Journal Industry 4.0, 1, Issue 2, Published by Sci Tech Union of Mechanical, 2016, ISSN:2543-8582, pp. 110-113.
  4. D. Dimitrov, E. Atanassov, Scalable system with accelerators for financial option prices estimation, International Journal of Data Science (IJDS), Vol. 1, No. 4, 2016, pp.305-315, DOI: 10.1504/IJDS.2016.081367, (open access).
  5. T. Gurov, A. Karaivanova, V. Alexandrov, Energy study of Monte Carlo and Quasi-Monte Carlo algorithms for solving integral equations. Procedia Computer Science, 80, Elsevier, 2016, ISSN:1877-0509, DOI:10.1016/j.procs.2016.05.492, pp.1897-1905, SJR:0.259(2016).
  6. A. Radenski, T. Gurov, K. Kaloyanova, N. Kirov, M. Nisheva, P. Stanchev, E. Stoimenova, Big Data Techniques, Systems, Applications, and Platforms: Case Studies from Academia. Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, 8, Institute of Electrical and Electronics Engineers Inc., 2016, ISBN:978-836081090-3, ISSN:2300-5963, DOI:10.15439/2016F91, pp.883-888.
  7. S. Stoykov, E. Atanassov, S. Margenov, Efficient sparse matrix-matrix multiplication for computing periodic responses by shooting method on Intel Xeon Phi, Citation: AIP Conference Proceedings, vol. 1773, Issue 1, DOI: 10.1063/1.4965016, SJR=0.165(2016).
  8. V. Alexandrov, O. Esquivel-Flores, S. Ivanovska, A. Karaivanova, On the Preconditioned quasi-Monte Carlo Algorithm for Matrix Computations. Lecture Notes in Computer Science, 9374, Springer International Publishing, 2015, ISBN:978-3-319-26519-3, ISSN:0302-9743, DOI:10.1007/978-3-319-26520-9_17, pp. 163-171. SJR:0.339(2015).
  9. E. Atanassov, T. Gurov, A. Karaivanova, Energy Performance Evaluation of Quasi-Monte Carlo Algorithms on Hybrid HPC. LNCS, 9374, Springer International Publishing, 2015, ISBN:978-3-319-26519-3, ISSN:0302-9743, DOI:10.1007/978-3-319-26520-9_18, pp. 172-181. SJR:0.339(2015).
  10. T. Gurov, A. Karaivanova, Parallel Grid Applications. Grid Computing: Techniques and Future Prospects, eds. Jorge G. Barbosa and Inês Dutra, Nova Science Publishers, 2015, ISBN:978-1-63117-704-0, pp. 129-155, link.
  11. E. Atanassov, T. Gurov, A. Karaivanova, Energy aware performance study for a class of computationally intensive Monte Carlo algorithms. Computers and Mathematics with Applications, Vol. 70, Issue 11, Elsevier, 2015, ISSN:0898-1221, DOI:10.1016/j.camwa.2015.07.014, pp. 2719-2725. SJR:1.121 (2015), IF:1.697
  12. E. Atanassov, D. Dimitrov, T. Gurov, Evaluation of stochastic algorithms for financial mathematics problems from point of view of energy-efficiency. AIP Conference Proceedings, 1684, AIP Publishing, 2015, ISBN:978-0-7354-1331-3, ISSN:0094243X, DOI:10.1063/1.4934300, 060001-1-060001-6. SJR:0.180(2015).
  13. A. Karaivanova, S. Ivanovska, T. Gurov, Monte Carlo Method for Density Reconstruction Based on Insufficient Data. Procedia Computer Science, 51, 1, Elsevier, 2015, ISSN:1877-0509, DOI:10.1016/j.procs.2015.05.390, pp. 1782-1790. SJR:0.503(2015).
  14. E. Atanassov, D. Georgiev, T. Gurov, A. Karaivanova, Y. Nikolova, Distributed System for Query Processing with Grid Authentication, LNCS 8353, Springer, 2014, ISSN:0302-9743, DOI:10.1007/978-3-662-43880-0_53, pp. 467-475. SJR:0.354(2014).
  15. E. Atanassov, T. Gurov, A. Karaivanova, S. Ivanovska, M. Durchova, D. Georgiev, D. Dimitrov, Tuning for Scalability on Hybrid HPC Cluster. Mathematics in Industry, Cambridge Scholar Publishing, 2014, ISBN:978-1-4438-6401-5, pp. 64-77
  16. E. Atanassov, T. Gurov, A. Karaivanova, Energy Aware Performance Study for a Class of MC Algorithms. Proceedings of the International Conference, NMSCAA’14, Demetra, Sofia, 2014, ISBN:978-954-91700-7-8, pp. 15-18.
  17. E. Atanassov, T. Gurov, A. Karaivanova, Simulation of Electron Transport Using HPC Infrastructure in South-Eastern Europe. Modeling and Optimization in Science and Technologies, Vol. 2, Springer Verlag, 2014, ISBN:978-3-319-01520-0, ISSN:21967326, DOI:10.1007/978-3-319-01520-0-1, pp.1-13.
  18. E. Atanassov, D. Dimitrov, Scalable system for financial option prices estimation, Big Data, Knowledge and Control Systems Engineering-BdKCS’2014, pp.23-31, 2014, ISSN: 2367-6450.
  19. E. Atanassov, D. Georgiev, N. Manev, Number Theory Algorithms on GPU Clusters, High-Performance Computing Infrastructure for South East Europe’s Research Communities, Modeling and Optimization in Science and Technologies, Volume 2, pp. 131-138, 2014, ISSN: 2196-7326, ISBN: 978-3-319-01519-4, DOI: 10.1007/978-3-319-01520-0_16.
  20. G. Gadzhev, K. Ganev, M. Prodanova, D. Syrakov, E. Atanasov, N. Miloshev, 2014, Multi-scale Atmospheric Composition Modelling for Bulgaria. In: Steyn D., Builtjes P., Timmermans R. (eds) Air Pollution Modeling and its Application XXII. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht, pp 381-385, DOI:10.1007/978-94-007-5577-2_64.
  21. D. Georgiev, E. Atanassov, Extensible Framework for Execution of Distributed Genetic Algorithms on Grid Clusters, MIPRO 2014/DC-VIS, Proceedings of the 37th International Convention, IEEE, pp. 316-321, May, 2014, ISBN: 978-953233081-6.
  22. D. Georgiev, E. Atanassov, V. Alexandrov, A Framework for Parallel Genetic Algorithms for Distributed Memory Architectures, SC14: The International Conference on High Performance Computing, Networking, Storage and Analysis, Proceeding of 5th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, pp. 47-53, IEEE 2014, ISBN 978-1-4799-7562-4/14, DOI 10.1109/ScalA.2014.13.
  23. G. Goranov, R. Hristova, Development of software program for direct insertion into MySQL database from communication interface, Conf. Proc of XLIX International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Volume 1, 2014, pp. 259-262, ISBN: 978-86-6125-108-5.
  24. T. Gurov, A. Karaivanova, E. Atanassov, R. Serbezov, N. Spassov, Statistical Estimation of Brown bears population in Rhodope Mountains. Proceedings of the International Conference, NMSCAA’14, Demetra, Sofia, 2014, ISBN:978-954-91700-7-8, pp. 43-46.
  25. P. Ivanov, E. Atanassov, C. Jaime, Computational study on the conformations of CD38 and inclusion complexes of some lower-size large-ring cyclodextrins, Journal of Molecular Structure, Volumes 1056-1057,2014, pp. 238-245, ISSN: 0022-2860, DOI: 10.1016/j.molstruc.2013.10.048, SJR: 0.446(2014), IF: 1.599.
  26. R. Hristova, S. Ivanovska, M. Durchova, Performance Analysis of the Regional Grid Resources for an Environmental Modeling Application, LSSC 2013, LNCS 8353, pp. 507-514, 2014, DOI: 10.1007/978-3-662-43880-0_58, Springer- Verlag, Berlin, Heidelberg, ISSN: 03029743 ISBN: 978-366243879-4, SJR: 0.354(2014).
  27. K. Shterev, E. Atanassov, St. Stefanov, GPU calculations of unsteady viscous compressible and heat conductive gas flow at supersonic speed, LSSC 2013, LNCS 8353, pp. 549-556, 2014, DOI: 10.1007/978-3-662-43880-0_63, Springer- Verlag, Berlin, Heidelberg, ISSN: 03029743 ISBN: 978-366243879-4, SJR: 0.354(2014).