Publications 2018

  1. Alexandrov, V., Davila, D., Esquivel-Flores, O., Karaivanova, A., Gurov, T., Atanassov, E., On Monte Carlo and quasi-Monte Carlo Methods for Matrix Computations. Lecture Notes in Computer Science, 10665, Springer-Verlag, 2018, DOI:10.1007/978-3-319-73441-5_26, pp. 249-257, SJR:0.295 (2017).
  2. Atanassov, E, Gurov, T, Ivanovska, S, Karaivanova, A, Simchev, T., On the Parallel Implementation of Quasi-Monte Carlo Algorithms. Lecture Notes in Computer Science, 10665, Springer International Publishing, 2018, DOI:10.1007/978-3-319-73441-5_27, pp. 258-265, SJR:0.295(2017).
  3. Atanassov, E., Gurov, T., Durchova, M., Ivanovska, S., Karaivanova, A.. 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 ), ed. Kr. Georgiev, Fastprint, 2018, pp. 6-9, ISBN:978-954-91700-7-8.
  4. Dimitrov V., Stoyanov S., Solution for Data Discovery Service in a Virtual Research Enviroment, Scalable Computing: Practice and Experience (SCPE), Scientific International Journal for Parallel and Distibuted Computing, Vol. 19, No. 2, pp. 181-187, 2018, ISSN: 1895-1767, SJR:0.180 (2017).
  5. Frasheri N., Atanassov E., An Analysis for Prallel Wind Simulation Speedup using OpenFOAM, Scalable Computing: Practice and Experience (SCPE), Scientific International Journal for Parallel and Distibuted Computing, Vol. 19, No. 2, pp.97-105, 2018, ISSN: 1895-1767, SJR: 0.180 (2017).
  6. Koleva-Efremova V. and Gurov T., “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).
  7. Lazarova M. and Gurova S. – M., “Numerical Comparative Analysis on the Classical Vasicek Model for Determining the Zero Coupon Bond’s Price”, Conference Proceeding MATTEX 2018, vol. 1, pp.121-135, 2018, ISSN: 1314-3921.
  8. Simchev T., “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).