Center for Computing Research (CCR)

Center for Computing Research

Eric Christopher Cyr

Eric Christopher Cyr
Computational Mathematics
Email: eccyr@sandia.gov
Phone: 505/844-0360
Fax: 505/845-7442

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1320
Albuquerque, NM
87185-1320

I'm a Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia National Laboratories in Albuquerque, NM. My research focus is on simulation of multiphysics PDEs, advanced analysis techniques, scalable algorithms and scientific machine learning.

Education/Background

  • PhD Computer Science, University of Illinois at Urbana-Champaign, 2008. (Thesis Title: Numerical Methods for Computing the Free Energy of Coarse-Grained Molecular Systems, Advisor: Stephen D. Bond)
  • BS Computer Science, Clemson University, 2002.

Selected Publications & Presentations

2020
  • Cyr, Eric Christopher, David Humphreys, Ana Kupresanin, Dan Boyer, John Canik, Robert Granetz, Jeff Hittinger, Egeman Koleman, Earl Lawrence, Valerio Pascucci, "Advancing Fusion with Machine Learning Research Needs Workshop Report," Journal Article, Journal of Fusion Energy, Submitted June 2020.
  • Cyr, Eric Christopher, "Enabling 5G Distributed Scientific Data Analysis through Hierarchical Architectures and Algorithms," Conference Paper, 5G Enabled Energy Innovation Workshop (5GEEIW) in Chicago, IL, USA, March 2020.
  • Patel, Ravi Ghanshyam, Nathaniel Albert Trask, Mamikon Gulian, Eric Christopher Cyr, "A block coordinate descent optimizer for classification problems exploiting convexity," Journal Article, Arvix, Submitted June 2020.
  • Patel, Ravi Ghanshyam, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr, "A physics-informed operator regression framework for extracting data-driven continuum models," Journal Article, Arvix, Submitted May 2020.
2019
  • Chung, Seung Whan, Stephen D Bond, Eric Christopher Cyr, Jonathan B Freund, "Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods," Journal Article, Journal of Computational Physics, Accepted/Published September 2019.
  • Cyr, Eric Christopher, Stefanie Guenther, Jacob Schroder, "Multilevel Initialization for Layer-Parallel Deep Neural Network Training," Conference Paper, arix paper, December 2019.
  • Cyr, Eric Christopher, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask, "Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint," Conference Paper, Mathematical and Scientific Machine Learning Conference in Princeton, NJ, US, December 2019.
  • Guenther, Stefanie, Lars Ruthotto, Jacob Schroder, Eric Christopher Cyr, Nicolas Gauger, "Layer-Parallel Training of Deep Residual Neural Networks," Journal Article, SIAM Journal on Mathematics of Data Science (SIMODS), Accepted/Published October 2019.
  • Mabuza, Sibusiso, John N. Shadid, Eric Christopher Cyr, Roger P. Pawlowski, Dmirtri Kuzmin, "A monotone linearity preserving nodal variation limiting algorithm for continuous Galerkin discretization of MHD equations ," Journal Article, Journal of Computational Physics , Submitted March 2019.
  • Miller, Sean, Eric Christopher Cyr, John N. Shadid, Richard Michael Jack Kramer, Edward Geoffrey Phillips, Sidafa Conde, Roger P. Pawlowski, "IMEX and exact sequence discretization of the multi-fluid plasma model," Journal Article, Journal of Computational Physics, Accepted/Published July 2019.
2018
  • Cyr, Eric Christopher, J. B. Schroder, N. R. Gauger, S. Gunter, L. Ruthotto, " Parallel-in-Layer Training of Deep Residual Neural Networks," Journal Article, ARXIV.org, Accepted/Published December 2018.
  • Lin, Paul T, John N. Shadid, Jonathan J. Hu, Roger P. Pawlowski, Eric Christopher Cyr, "Performance of Fully-coupled Algebraic Multigrid Preconditioners for Large-scale VMS Resistive MHD," Journal Article, Journal of Computational and Applied Mathematics, Vol. 344, pp. 782–793, Accepted/Published December 2018.
2016
  • Adler, James, Tom Benson, Eric Christopher Cyr, Scott MacLachlan, Raymond S. Tuminaro, "Monolithic Multigrid Methods for Two- Dimensional Resistive Magnetohydrodynamics ," Journal Article, SIAM SISC, Vol. 38, No. 1, pp. B1–B24, Accepted/Published January 2016.
  • Shadid, John N., Roger P. Pawlowski, Eric Christopher Cyr, Raymond S. Tuminaro, Luis Chacon, Paula D. Weber, "Scalable Implicit Incompressible Resistive MHD with Stabilized FE and Fully-coupled Newton-Krylov-AMG," Journal Article, Comp. Meth. Applied Mech. Eng., Vol. 304, pp. 1–25, Accepted/Published July 2016.
2015
  • David, Sondak, John N. Shadid, Oberai A Assad, Roger P. Pawlowski, Eric Christopher Cyr, Thomas M. Smith, "A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics," Journal Article, J. Comp. Physics, Vol. 295, No. 15 , pp. 596–616, Accepted/Published August 2015.
  • Wildey, Timothy Michael, Eric Christopher Cyr, John N. Shadid, "Towards efficient backward-in-time adjoint computations using data compression techniques," Journal Article, Computer Methods in Applied Mechanics and Engineering, Vol. 288, pp. 24–44, Accepted/Published May 2015.
2014
  • Cyr, Eric Christopher, John N. Shadid, Timothy Michael Wildey, "Approaches for adjoint-based a posteriori analysis of stabilized finite element methods," Journal Article, SIAM Journal on Scientific Computing, Vol. 36, No. 2, pp. 766–691, Accepted/Published April 2014.
  • Cyr, Eric Christopher, John N. Shadid, Timothy Michael Wildey, "Towards Efficient Backward-in-time Adjoint Computations using Data Compression Techniques," Journal Article, Computer Methods in Applied Mechanics and Engineering, Submitted March 2014.
  • Lin, Paul, Matthew Tyler Bettencourt, Stefan P. Domino, Travis C. Fisher, Mark Frederick Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher Siefert, Eric Christopher Cyr, Stephen Ray Kennon, "Towards extreme-scale simulations with next-generation Trilinos: a low Mach fluid application case study ," Conference Paper, Workshop on Large-Scale Parallel Processing/28th IEEE International Parallel & Distributed Processing Symposium (IPDPS2014), May 2014.
2013
  • Cyr, Eric Christopher, John N. Shadid, Raymond S. Tuminaro, Roger P. Pawlowski, Luis Chacon, "A New Approximate Block Factorization Preconditioner for 2D Incompressible (Reduced) Resistive MHD," Journal Article, SIAM J. Sci. Comput., Accepted/Published August 2013.
2012
  • Cyr, Eric C., John N. Shadid, Raymond S. Tuminaro, "Stabilization and Scalable Block Preconditioning for the Navier-Stokes Equations," Journal Article, J. of Comp. Phys., Accepted/Published January 2012.
2011
2006