Vadim D. Levchenko

According to our database, Vadim D. Levchenko authored at least 18 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Streaming techniques: revealing the natural concurrency of the lattice Boltzmann method.

Andrey Zakirov, Anastasia Y. Perepelkina, Vadim D. Levchenko, Sergey A. Khilkov

J. Supercomput., 2021

A multi-level parallel algorithm for seismic imaging based on one-way wave equation migration.

Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko

Comput. Math. Appl., 2021

2020

Kirchhoff-Type Implementation of Multi-Arrival 3-D Seismic Depth Migration with Amplitudes Preserved.

Alexander L. Pleshkevich, Anton V. Ivanov, Vadim D. Levchenko, Sergey A. Khilkov

Proceedings of the Supercomputing, 2020

New Compact Streaming in LBM with ConeFold LRnLA Algorithms.

Anastasia Y. Perepelkina, Vadim D. Levchenko, Andrey Zakirov

Proceedings of the Supercomputing, 2020

Management of Computations with LRnLA Algorithms in Adaptive Mesh Refinement Codes.

Anton Ivanov, Vadim D. Levchenko, Boris A. Korneev, Anastasia Y. Perepelkina

Proceedings of the Supercomputing, 2020

Recursive DiamondCandy: non-memory-bound LRnLA algorithm for 3D cross stencil calculations on CUDA GPU.

Anastasia Y. Perepelkina, Vadim D. Levchenko

Proceedings of the HP3C 2020: 4th International Conference on High Performance Compilation, 2020

2019

The DiamondCandy LRnLA algorithm: raising efficiency of the 3D cross-stencil schemes.

Anastasia Y. Perepelkina, Vadim D. Levchenko, Sergey A. Khilkov

J. Supercomput., 2019

Efficient Parallel Implementation of Multi-Arrival 3D Prestack Seismic Depth Migration.

Alexander L. Pleshkevich, Anton V. Ivanov, Vadim D. Levchenko, Sergey A. Khilkov, Boris P. Moroz

Supercomput. Front. Innov., 2019

Performance Limits Study of Stencil Codes on Modern GPGPUs.

Ilya S. Pershin, Vadim D. Levchenko, Anastasia Y. Perepelkina

Supercomput. Front. Innov., 2019

GPU Implementation of a Stencil Code with More Than 90% of the Peak Theoretical Performance.

Ilya S. Pershin, Vadim D. Levchenko, Anastasia Y. Perepelkina

Proceedings of the Supercomputing, 2019

Memory-Optimized Tile Based Data Structure for Adaptive Mesh Refinement.

Anton Ivanov, Anastasia Y. Perepelkina, Vadim D. Levchenko, Ilya S. Pershin

Proceedings of the Supercomputing, 2019

GPU Implementation of ConeTorre Algorithm for Fluid Dynamics Simulation.

Vadim D. Levchenko, Andrey Zakirov, Anastasia Y. Perepelkina

Proceedings of the Parallel Computing Technologies, 2019

2018

Parallel GPU-based Implementation of One-Way Wave Equation Migration.

Alexander L. Pleshkevich, Vadim V. Lisitsa, Dmitry M. Vishnevsky, Vadim D. Levchenko, Boris M. Moroz

Supercomput. Front. Innov., 2018

Parallel Algorithm for One-Way Wave Equation Based Migration for Seismic Imaging.

Alexander L. Pleshkevich, Dmitry M. Vishnevsky, Vadim V. Lisitsa, Vadim D. Levchenko

Proceedings of the Supercomputing, 2018

LRnLA Algorithm ConeFold with Non-local Vectorization for LBM Implementation.

Anastasia Y. Perepelkina, Vadim D. Levchenko

Proceedings of the Supercomputing, 2018

2017

The DiamondTetris Algorithm for Maximum Performance Vectorized Stencil Computation.

Vadim D. Levchenko, Anastasia Y. Perepelkina

Proceedings of the Parallel Computing Technologies, 2017

2016

DiamondTorre Algorithm for High-Performance Wave Modeling.

Vadim D. Levchenko, Anastasia Y. Perepelkina, Andrey Zakirov

Comput., 2016

2015

DiamondTorre GPU Implementation Algorithm of the RKDG Solver for Fluid Dynamics and its Using for the Numerical Simulation of the Bubble-shock Interaction Problem.

Boris A. Korneev, Vadim D. Levchenko

Proceedings of the International Conference on Computational Science, 2015