1. Multidimensional performance and scalability analysis for diverse applications based on system monitoring data. Maya Neytcheva, Sverker Holmgren, Jonathan R. Bull, Ali Dorostkar, Anastasia Kruchinina, Dmitry Nikitenko, Nina Popova, Pavel Shvets, Alexey Teplov, Vadim Voevodin, and Vladimir Voevodin. In Parallel Processing and Applied Mathematics: Part I, volume 10777 of Lecture Notes in Computer Science, pp 417-431, Springer, 2018. (DOI).
2. Analysis and Implementation of Preconditioners for Prestressed Elasticity Problems: Advances and Enhancements. Ali Dorostkar. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1580, Acta Universitatis Upsaliensis, Uppsala, 2017. (fulltext, preview image).
3. Function-based algebraic multigrid method for the 3D Poisson problem on structured meshes. Ali Dorostkar. Technical report / Department of Information Technology, Uppsala University nr 2017-022, 2017. (External link).
4. Function-based block multigrid strategy for a two-dimensional linear elasticity-type problem. Marco Donatelli, Ali Dorostkar, Mariarosa Mazza, Maya Neytcheva, and Stefano Serra-Capizzano. In Computers and Mathematics with Applications, volume 74, pp 1015-1028, 2017. (DOI).
5. Spectral analysis of coupled PDEs and of their Schur complements via Generalized Locally Toeplitz sequences in 2D. Ali Dorostkar, Maya Neytcheva, and Stefano Serra-Capizzano. In Computer Methods in Applied Mechanics and Engineering, volume 309, pp 74-105, 2016. (DOI).
6. A block multigrid strategy for two-dimensional coupled PDEs. Marco Donatelli, Ali Dorostkar, Mariarosa Mazza, Maya Neytcheva, and Stefano Serra-Capizzano. Technical report / Department of Information Technology, Uppsala University nr 2016-001, 2016. (External link).
7. Schur complement matrix and its (elementwise) approximation: A spectral analysis based on GLT sequences. Ali Dorostkar, Maya Neytcheva, and Stefano Serra-Capizzano. In Large-Scale Scientific Computing, volume 9374 of Lecture Notes in Computer Science, pp 419-426, Springer, 2015. (DOI).
8. Numerical and computational aspects of some block-preconditioners for saddle point systems. Ali Dorostkar, Maya Neytcheva, and Björn Lund. In Parallel Computing, volume 49, pp 164-178, 2015. (DOI).
9. Developments in preconditioned iterative methods with application to glacial isostatic adjustment models. Ali Dorostkar. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2015-002, Uppsala University, 2015. (fulltext).
10. Schur complement matrix and its (elementwise) approximation: A spectral analysis based on GLT sequences. Ali Dorostkar, Maya Neytcheva, and Stefano Serra-Capizzano. Technical report / Department of Information Technology, Uppsala University nr 2015-011, 2015. (External link).
11. Spectral analysis of coupled PDEs and of their Schur complements via the notion of generalized locally Toeplitz sequences. Ali Dorostkar, Maya Neytcheva, and Stefano Serra-Capizzano. Technical report / Department of Information Technology, Uppsala University nr 2015-008, 2015. (External link).
12. On some block-preconditioners for saddle point systems and their CPU–GPU performance. Ali Dorostkar, Maya Neytcheva, and Björn Lund. Technical report / Department of Information Technology, Uppsala University nr 2015-003, 2015. (External link).
13. CPU and GPU performance of large scale numerical simulations in Geophysics. Ali Dorostkar, Dimitar Lukarski, Björn Lund, Maya Neytcheva, Yvan Notay, and Peter Schmidt. In Euro-Par 2014: Parallel Processing Workshops, Part I, volume 8805 of Lecture Notes in Computer Science, pp 12-23, Springer, 2014. (DOI).
14. Parallel performance study of block-preconditioned iterative methods on multicore computer systems. Ali Dorostkar, Dimitar Lukarski, Björn Lund, Maya Neytcheva, Yvan Notay, and Peter Schmidt. Technical report / Department of Information Technology, Uppsala University nr 2014-007, 2014. (External link).

• Seminar, Technical university of Ostrava, Czech republic, 2013-11-19, Preconditioning of non-symmetric saddle point systems as arising in modelling of viscoelastic problems
• Seminar, Technical university of Ostrava, Czech republic, 2013-11-19, Introduction to Deal.II
• Seminar, ULB university of Brussels, Belgium, 2014-03-28, Numerical solution methods for Glacial Isostatic Adjustment models
• Seminar, Uppsala university, Sweden, 2014,12,15, Mini-symposium, Performance study of block preconditioned inner-outer solvers on multicore CPU and GPU
• PhD circus 2015, April 22-24 ,Uppsala university, Uppsala, Sweden.
• PhD circus 2016, April 27, Uppsala university, Uppsala, Sweden.

• ComplexHPC Spring School 2013, Heterogeneous computing - impact on algorithms, June 3-7, 2013, Uppsala University, Uppsala, Sweden
• SPOMECH workshop on Supercomputing and computational solid and fluid mechanics, Ostrava, Czech republic, November 11-13, 2013
• Autumn School on Parallel solution of large engineering problems, Ostrava, Czech republic, 13th Nov, 15th Nov 2013
• Visiting Technical university of Ostrava, November 16-21, 2013, presentation 2013-11-19 (see above) and collaboration.
• Visiting ULB, Brussels, Belguim, March 28-29, 2014, presentation 2014-03-28 (see above) and collaboration.
• Nesus Workshop & Management Meeting, August 27 - 28,2014, Porto, Portugal.
• Euro-par 2014 conference, August 25 - 29, 2014, Porto, Portugal.
• Computational Mathematics Circus, May 28, KTH, Stockholm, Sweden.
• The 10th International Conference on Large-Scale Scientific Computations LSSC'15, June 8 - 12, 2015, Sozopol, Bulgaria
• BIT Circus August 26-27, 2015, Umeå University, Umeå, Sweden.
• SIAM Conference on Parallel Processing for Scientific Computing (PP16), April 12 - 15, 2016, Paris, France.
• ABB Technology day, September 6, 2016, Västerås, Sweden

Co-authors and collaborators

Maya Neytcheva, Stefano Serra, Björn Lund, Dimitar Lurkaski, Peter Schmidt, Yvan Notay