Miroslav Stoyanov

20 papers B 1C 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
ASGarD: Adaptive Sparse Grid Discretization.
J. Open Source Softw.
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
2024 — conf
Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures.
PP
Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann
2024 J jnl
Sparse-grid Discontinuous Galerkin Methods for the Vlasov-Poisson-Lenard-Bernstein Model.
CoRR
Stefan Schnake, Coleman Kendrick, Eirik Endeve, Miroslav Stoyanov, Steven E. Hahn, Cory D. Hauck, David L. Green, Phil Snyder, John Canik
2024 J jnl
Sparse-grid discontinuous Galerkin methods for the Vlasov-Poisson-Lenard-Bernstein model.
J. Comput. Phys.
Stefan Schnake, Coleman Kendrick, Eirik Endeve, Miroslav Stoyanov, Steven E. Hahn, Cory D. Hauck, David L. Green, Phil Snyder, John Canik
2022 J jnl
ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing.
CoRR
Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann
2022 J jnl
Data-driven surrogate modeling of hPIC ion energy-angle distributions for high-dimensional sensitivity analysis of plasma parameters' uncertainty.
Comput. Phys. Commun.
Pablo Seleson, Mohammad Mustafa, Davide Curreli, Cory D. Hauck, Miroslav Stoyanov, David E. Bernholdt
2022 — conf
Performance Analysis of Parallel FFT on Large Multi-GPU Systems.
IPDPS Workshops
Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra
2021 J jnl
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems.
CoRR
Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Miroslav Stoyanov
2021 J jnl
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems.
J. Comput. Phys.
Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Miroslav Stoyanov
2021 — conf
A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms.
HPEC
Daniel Sharp, Miroslav Stoyanov, Stanimire Tomov, Jack J. Dongarra
2021 — conf
Accelerating Multi - Process Communication for Parallel 3-D FFT.
ExaMPI@SC
Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra
2021 B conf
Scalability Issues in FFT Computation.
PaCT
Alan Ayala, Stanimire Tomov, Miroslav Stoyanov, Jack J. Dongarra
2021 J jnl
Stable Anderson Acceleration for Deep Learning.
CoRR
Massimiliano Lupo Pasini, Junqi Yin, Viktor Reshniak, Miroslav Stoyanov
2020 J jnl
A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions.
SIAM J. Sci. Comput.
Zachary Morrow, Miroslav Stoyanov
2019 J jnl
A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions.
CoRR
Zack Morrow, Miroslav Stoyanov
2016 J jnl
A dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions.
Comput. Math. Appl.
Miroslav Stoyanov, Clayton G. Webster
2015 J jnl
Numerical Analysis of Fixed Point Algorithms in the Presence of Hardware Faults.
SIAM J. Sci. Comput.
Miroslav Stoyanov, Clayton G. Webster
2015 J jnl
Power-Law Noises over General Spatial Domains and on Nonstandard Meshes.
SIAM/ASA J. Uncertain. Quantification
Hans-Werner van Wyk, Max D. Gunzburger, John Burkhardt, Miroslav Stoyanov
2010 C conf
Linear feedback control of a von Kármán street by cylinder rotation.
ACC
Jeff Borggaard, Miroslav Stoyanov, Lizette Zietsman
2008 — conf
An efficient long-time integrator for Chandrasekhar equations.
CDC
Jeff Borggaard, Miroslav Stoyanov