Alexey Voronin

I am a postdoctoral researcher in the Computational Mathematics Department at Sandia National Laboratories, specializing in scalable numerical solvers for complex engineering and physics problems. My expertise is in developing multilevel methods that enhance the performance of algorithms solving linear and nonlinear partial differential equations. These techniques have broad applications in fields like graph partitioning, optimization, and machine learning.

I earned my PhD in Computer Science from the University of Illinois at Urbana-Champaign. With over eight years of experience in scientific computing and numerical modeling, my career also includes three years as a software engineer at Lawrence Livermore National Laboratory. There, I enhanced multiphysics simulation codes by applying my knowledge in GPU computing, modern HPC architectures, multigrid methods, and PDEs.

selected publications

Monolithic Multigrid Preconditioners for High-Order Discretizations of Stokes Equations

Alexey Voronin, Graham Harper , Scott MacLachlan , and 2 more authors

2024

Bib HTML

@article{voronin2024highordermg,
  title = {Monolithic Multigrid Preconditioners for High-Order Discretizations of Stokes Equations},
  author = {Voronin, Alexey and Harper, Graham and MacLachlan, Scott and Olson, Luke N. and Tuminaro, Raymond S.},
  year = {2024},
  eprint = {2407.07253},
  archiveprefix = {arXiv},
  primaryclass = {math.NA},
  url = {https://arxiv.org/abs/2407.07253},
}

Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations

Alexey Voronin, Scott MacLachlan , Luke N. Olson , and 1 more author

Arxiv, 2023

Bib HTML

@article{https://doi.org/10.48550/arXiv.2306.06795,
  author = {Voronin, Alexey and MacLachlan, Scott and Olson, Luke N. and Tuminaro, Raymond},
  title = {Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations},
  journal = {Arxiv},
  volume = {n/a},
  number = {n/a},
  pages = {n/a},
  doi = {https://doi.org/10.48550/arXiv.2306.06795},
  url = {https://arxiv.org/abs/2306.06795},
  eprint = {https://arxiv.org/abs/2306.06795},
  year = {2023},
}