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Igor M. Kulikov
Person information
- affiliation: Novosibirsk State University, Russia
Other persons with the same name
- Igor Kulikov 0002 — Saint Petersburg State Electrotechnical University, Russia
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2020 – today
- 2024
- [i2]James McKevitt, Eduard I. Vorobyov, Igor Kulikov:
Accelerating Fortran Codes: A Method for Integrating Coarray Fortran with CUDA Fortran and OpenMP. CoRR abs/2409.02294 (2024) - 2021
- [j5]Igor G. Chernykh, Igor M. Kulikov, Alexander Tutukov:
Hydrogen-helium chemical and nuclear galaxy collision: Hydrodynamic simulations on AVX-512 supercomputers. J. Comput. Appl. Math. 391: 113395 (2021) - 2020
- [j4]Igor M. Kulikov:
A new code for the numerical simulation of relativistic flows on supercomputers by means of a low-dissipation scheme. Comput. Phys. Commun. 257: 107532 (2020) - [c17]Igor G. Chernykh, Vitaly A. Vshivkov, Galina I. Dudnikova, Tatyana Liseykina, Ekaterina Genrikh, Anna Efimova, Igor M. Kulikov, Ivan Chernoshtanov, Marina Boronina:
High-Performance Simulation of High-Beta Plasmas Using PIC Method. RuSCDays 2020: 207-215 - [c16]Igor M. Kulikov, Igor G. Chernykh, Dmitry Karavaev, Viktor Protasov, Vladislav Nenashev, Vladimir Prigarin:
The Numerical Simulation of Radial Age Gradients in Spiral Galaxies. RuSCDays 2020: 365-374
2010 – 2019
- 2019
- [c15]Igor M. Kulikov, Igor G. Chernykh, Dmitry Karavaev, Evgeny Berendeev, Viktor Protasov:
HydroBox3D: Parallel & Distributed Hydrodynamical Code for Numerical Simulation of Supernova Ia. PaCT 2019: 187-198 - [c14]Igor M. Kulikov, Igor G. Chernykh, Andrei Tchernykh:
A Scalable Parallel Computing Framework for Large-Scale Astrophysical Fluid Dynamics Numerical Simulation. PDCAT 2019: 328-333 - [c13]Vladimir A. Cheverda, Dmitry Kolyukhin, Vadim V. Lisitsa, Maksim Protasov, Galina V. Reshetova, Anastasiya Merzlikina, Victoriay Volyanskaya, Denis Petrov, Valery Shilikov, Artjem Melnik, Boris M. Glinsky, Igor G. Chernykh, Igor M. Kulikov:
Digital Twin of the Seismogeological Object: Building and Application. RuSCDays 2019: 214-224 - [c12]Igor M. Kulikov, Igor G. Chernykh, Evgeny Berendeev, Dmitry Karavaev, Viktor Protasov:
Relativistic Hydrodynamics Modeling by Means Adaptive Nested Mesh on IBM Power 9. RuSCDays 2019: 350-362 - [c11]Boris M. Glinskiy, Yury A. Zagorulko, Galina Zagorulko, Igor M. Kulikov, Anna Sapetina:
The Creation of Intelligent Support Methods for Solving Mathematical Physics Problems on Supercomputers. RuSCDays 2019: 427-438 - [c10]Igor G. Chernykh, Vladimir A. Mironov, Andrey Kudryavtsev, Igor M. Kulikov:
Evaluation of Intel Memory Drive Technology Performance for Computational Astrophysics. RuSCDays 2019: 563-572 - [c9]Vladimir A. Mironov, Igor G. Chernykh, Igor M. Kulikov, Alexander A. Moskovsky, Evgeny Epifanovsky, Andrey Kudryavtsev:
Performance Evaluation of the Intel Optane DC Memory With Scientific Benchmarks. MCHPC@SC 2019: 1-6 - 2018
- [c8]Igor M. Kulikov, Igor G. Chernykh, Vitaly A. Vshivkov, Vladimir Prigarin, Vladimir A. Mironov, Alexander Tutukov:
The Parallel Hydrodynamic Code for Astrophysical Flow with Stellar Equations of State. RuSCDays 2018: 414-426 - [c7]Igor G. Chernykh, Igor M. Kulikov, Boris M. Glinsky, Vitaly A. Vshivkov, Lyudmila Vshivkova, Vladimir Prigarin:
Advanced Vectorization of PPML Method for Intel® Xeon® Scalable Processors. RuSCDays 2018: 465-471 - [c6]Vladimir A. Mironov, Andrey Kudryavtsev, Yuri Alexeev, Alexander A. Moskovsky, Igor M. Kulikov, Igor G. Chernykh:
Evaluation of Intel Memory Drive Technology Performance for Scientific Applications. MCHPC@SC 2018: 14-21 - [i1]Vladimir A. Mironov, Andrey Kudryavtsev, Yuri Alexeev, Alexander A. Moskovsky, Igor M. Kulikov, Igor G. Chernykh:
Evaluation of Intel Memory Drive Technology Performance for Scientific Applications. CoRR abs/1811.10220 (2018) - 2017
- [c5]Boris M. Glinskiy, Igor M. Kulikov, Igor G. Chernykh, Alexey V. Snytnikov, Anna Sapetina, Dmitry Weins:
The Integrated Approach to Solving Large-Size Physical Problems on Supercomputers. RuSCDays 2017: 278-289 - [c4]Boris M. Glinskiy, Igor M. Kulikov, Igor G. Chernykh:
Improving the Performance of an AstroPhi Code for Massively Parallel Supercomputers Using Roofline Analysis. RuSCDays 2017: 400-406 - 2016
- [j3]Igor M. Kulikov, Eduard I. Vorobyov:
Using the PPML approach for constructing a low-dissipation, operator-splitting scheme for numerical simulations of hydrodynamic flows. J. Comput. Phys. 317: 318-346 (2016) - [c3]Boris M. Glinsky, Igor M. Kulikov, Igor G. Chernykh, Dmitry Weins, Alexey V. Snytnikov, Vladislav Nenashev, Andrey Andreev, Vitaly Egunov, Egor Kharkov:
The Co-design of Astrophysical Code for Massively Parallel Supercomputers. ICA3PP Workshops 2016: 342-353 - 2015
- [j2]Igor M. Kulikov, Igor G. Chernykh, Alexei V. Snytnikov, Boris M. Glinskiy, Alexander Tutukov:
AstroPhi: A code for complex simulation of the dynamics of astrophysical objects using hybrid supercomputers. Comput. Phys. Commun. 186: 71-80 (2015) - [c2]Igor M. Kulikov, Igor G. Chernykh, Boris M. Glinsky, Dmitry Weins, Alexey B. Shmelev:
Astrophysics Simulation on RSC Massively Parallel Architecture. CCGRID 2015: 1131-1134 - 2014
- [j1]Boris M. Glinskiy, Igor M. Kulikov, Alexey V. Snytnikov, Alexey A. Romanenko, Igor G. Chernykh, Vitaly A. Vshivkov:
Co-design of Parallel Numerical Methods for Plasma Physics and Astrophysics. Supercomput. Front. Innov. 1(3): 88-98 (2014)
2000 – 2009
- 2009
- [c1]Igor M. Kulikov, Galina G. Lazareva, Alexei V. Snytnikov, Vitaly A. Vshivkov:
Supercomputer Simulation of an Astrophysical Object Collapse by the Fluids-in-Cell Method. PaCT 2009: 414-422
Coauthor Index
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