Miroslav Stoyanov

According to our database, Miroslav Stoyanov authored at least 17 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ASGarD: Adaptive Sparse Grid Discretization.

Steven E. Hahn, Miroslav Stoyanov, Stefan Schnake, Eirik Endeve, David L. Green, Mark R. Cianciosa, Eduardo F. D'Azevedo, Wael R. Elwasif, Coleman Kendrick, Hao Lau, M. Graham Lopez, Adam McDaniel, B. Tyler McDaniel, Lin Mu, Timothy Reed Younkin, Hugo Brunie, Nestor Demeure, Cory D. Hauck

J. Open Source Softw., 2024

Sparse-grid discontinuous Galerkin methods for the Vlasov-Poisson-Lenard-Bernstein model.

Stefan Schnake, Coleman Kendrick, Eirik Endeve, Miroslav Stoyanov, Steven E. Hahn, Cory D. Hauck, David L. Green, Phil Snyder, John Canik

J. Comput. Phys., 2024

Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures.

Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann

Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024

2022

Data-driven surrogate modeling of hPIC ion energy-angle distributions for high-dimensional sensitivity analysis of plasma parameters' uncertainty.

Pablo Seleson, Mohammad Mustafa, Davide Curreli, Cory D. Hauck, Miroslav Stoyanov, David E. Bernholdt

Comput. Phys. Commun., 2022

ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing.

Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann

CoRR, 2022

Performance Analysis of Parallel FFT on Large Multi-GPU Systems.

Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

A Feynman-Kac based numerical method for the exit time probability of a class of transport problems.

Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Miroslav Stoyanov

J. Comput. Phys., 2021

Stable Anderson Acceleration for Deep Learning.

Massimiliano Lupo Pasini, Junqi Yin, Viktor Reshniak, Miroslav Stoyanov

CoRR, 2021

Scalability Issues in FFT Computation.

Alan Ayala, Stanimire Tomov, Miroslav Stoyanov, Jack J. Dongarra

Proceedings of the Parallel Computing Technologies, 2021

A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms.

Daniel Sharp, Miroslav Stoyanov, Stanimire Tomov, Jack J. Dongarra

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Accelerating Multi - Process Communication for Parallel 3-D FFT.

Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra

Proceedings of the Workshop on Exascale MPI, 2021

2020

A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions.

Zachary Morrow, Miroslav Stoyanov

SIAM J. Sci. Comput., 2020

2016

A dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions.

Miroslav Stoyanov, Clayton G. Webster

Comput. Math. Appl., 2016

2015

Numerical Analysis of Fixed Point Algorithms in the Presence of Hardware Faults.

Miroslav Stoyanov, Clayton G. Webster

SIAM J. Sci. Comput., 2015

Power-Law Noises over General Spatial Domains and on Nonstandard Meshes.

Hans-Werner van Wyk, Max D. Gunzburger, John Burkhardt, Miroslav Stoyanov

SIAM/ASA J. Uncertain. Quantification, 2015

2010

Linear feedback control of a von Kármán street by cylinder rotation.

Jeff Borggaard, Miroslav Stoyanov, Lizette Zietsman

Proceedings of the American Control Conference, 2010

2008

An efficient long-time integrator for Chandrasekhar equations.

Jeff Borggaard, Miroslav Stoyanov

Proceedings of the 47th IEEE Conference on Decision and Control, 2008