Oana Marin

According to our database, Oana Marin authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Fourier-informed knot placement schemes for B-spline approximation.

David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka

Math. Comput. Simul., November, 2023

Blockchain Solution for Buildings' Multi-Energy Flexibility Trading Using Multi-Token Standards.

Oana Marin, Tudor Cioara, Ionut Anghel

Future Internet, May, 2023

Fitting Matérn smoothness parameters using automatic differentiation.

Christopher Geoga, Oana Marin, Michel Schanen, Michael L. Stein

Stat. Comput., April, 2023

Review of Blockchain Tokens Creation and Valuation.

Oana Marin, Tudor Cioara, Liana Toderean, Dan Mitrea, Ionut Anghel

Future Internet, 2023

2022

The PetscSF Scalable Communication Layer.

Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini

IEEE Trans. Parallel Distributed Syst., 2022

The PETSc Community as Infrastructure.

Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang

Comput. Sci. Eng., 2022

The PETSc Community Is the Infrastructure.

Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang

CoRR, 2022

On automatic differentiation for the Matérn covariance.

Oana Marin, Christopher Geoga, Michel Schanen

CoRR, 2022

2021

Fourier neural networks as function approximators and differential equation solvers.

Marieme Ngom, Oana Marin

Stat. Anal. Data Min., 2021

Special function neural network (SFNN) models.

Yuzhen Liu, Oana Marin

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

A scalable matrix-free spectral element approach for unsteady PDE constrained optimization using PETSc/TAO.

Oana Marin, Emil M. Constantinescu, Barry Smith

J. Comput. Sci., 2020

Approximating periodic functions and solving differential equations using a novel type of Fourier Neural Networks.

Marieme Ngom, Oana Marin

CoRR, 2020

2019

Computing Derivatives for PETSc Adjoint Solvers using Algorithmic Differentiation.

Joseph G. Wallwork, Paul D. Hovland, Hong Zhang, Oana Marin

CoRR, 2019

2017

On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems.

Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter, Aleks Obabko, Adam Peplinski, Maxwell Hutchinson, Elia Merzari

CoRR, 2017

2016

Asynchronous Two-level Checkpointing Scheme for Large-scale Adjoints in the Spectral-element Solver Nek5000.

Michel Schanen, Oana Marin, Hong Zhang, Mihai Anitescu

Proceedings of the International Conference on Computational Science 2016, 2016

On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems.

Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter

Proceedings of the Exascale Applications and Software Conference 2016, 2016