Communication Cost Reduction for Krylov Methods on Parallel Computers. - Eric de Sturler; Henk A. van der Vorst (HPCN, 1994)

A Performance Model for Krylov Subspace Methods on Mesh-Based Parallel Computers. - Eric de Sturler (Parallel Comput., 1996)

Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran. - Eric de Sturler; Damian Loher (HPCN Europe, 1997)

Implementing Iterative Solvers for Irregular Sparse Matrix Problems in High Performance Fortran. - Eric de Sturler; Damian Loher (ISHPC, 1997)

Scientific Programming with High Performance Fortran: A Case Study Using the xHPF Compiler. - Eric de Sturler; Volker Strumpen (Sci. Program., 1997)

Object Oriented Programming in High Performance Fortran. - Eric de Sturler (ECOOP Workshops, 1998)

Parallel iterative solvers for irregular sparse matrices in High Performance Fortran. - Eric de Sturler; Damian Loher (Future Gener. Comput. Syst., 1998)

A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes. - Eric de Sturler; Jay P. Hoeflinger; Laxmikant V. Kalé; Milind A. Bhandarkar (The Architecture of Scientific Software, 2000)

Surface Parameterization For Meshing by Triangulation Flattening. - Alla Sheffer; Eric de Sturler (IMR, 2000)

Adaptive Load Balancing for MPI Programs. - Milind A. Bhandarkar; Laxmikant V. Kalé; Eric de Sturler; Jay P. Hoeflinger (International Conference on Computational Science (2), 2001)

Preconditioners for Indefinite Linear Systems Arising in Surface Parameterization. - Jörg Liesen; Eric de Sturler; Alla Sheffer; Yelda Aydin; Christopher M. Siefert (IMR, 2001)

Parameterization of Faceted Surfaces for Meshing using Angle-Based Flattening. - Alla Sheffer; Eric de Sturler (Eng. Comput., 2001)

Smoothing an overlay grid to minimize linear distortion in texture mapping. - Alla Sheffer; Eric de Sturler (ACM Trans. Graph., 2002)

Block-Diagonal and Constraint Preconditioners for Nonsymmetric Indefinite Linear Systems. Part I: Theory. - Eric de Sturler; Jörg Liesen (SIAM J. Sci. Comput., 2005)

Preconditioners for Generalized Saddle-Point Problems. - Christopher M. Siefert; Eric de Sturler (SIAM J. Numer. Anal., 2006)

Recycling Subspace Information for Diffuse Optical Tomography. - Misha Elena Kilmer; Eric de Sturler (SIAM J. Sci. Comput., 2006)

Recycling Krylov Subspaces for Sequences of Linear Systems. - Michael L. Parks; Eric de Sturler; Greg Mackey; Duane D. Johnson; Spandan Maiti (SIAM J. Sci. Comput., 2006)

Dynamic Adaptive Mesh Refinement for Topology Optimization - Shun Wang; Eric de Sturler; Glaucio H. Paulino (CoRR, 2010)

Efficient Computation of Observation Impact in 4D-Var Data Assimilation. - Alexandru Cioaca; Adrian Sandu; Eric de Sturler; Emil M. Constantinescu (WoCoUQ, 2011)

Improved Scaling for Quantum Monte Carlo on Insulators. - Kapil Ahuja; Bryan K. Clark; Eric de Sturler; David M. Ceperley; Jeongnim Kim (SIAM J. Sci. Comput., 2011)

A Regularized Gauss-Newton Trust Region Approach to Imaging in Diffuse Optical Tomography. - Eric de Sturler; Misha Elena Kilmer (SIAM J. Sci. Comput., 2011)

Recycling BiCG with an Application to Model Reduction. - Kapil Ahuja; Eric de Sturler; Serkan Gugercin; Eun R. Chang (SIAM J. Sci. Comput., 2012)

Efficient methods for computing observation impact in 4D-Var data assimilation - Alexandru Cioaca; Adrian Sandu; Eric de Sturler (CoRR, 2013)

Recycling Krylov subspaces for CFD applications. - Amit Amritkar; Eric de Sturler; Katarzyna Swirydowicz; Danesh K. Tafti; Kapil Ahuja (CoRR, 2015)

Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver. - Amit Amritkar; Eric de Sturler; Katarzyna Swirydowicz; Danesh K. Tafti; Kapil Ahuja (J. Comput. Phys., 2015)

Recycling BiCGSTAB with an Application to Parametric Model Order Reduction. - Kapil Ahuja; Peter Benner; Eric de Sturler; Lihong Feng (SIAM J. Sci. Comput., 2015)

Nonlinear Parametric Inversion Using Interpolatory Model Reduction. - Eric de Sturler; Serkan Gugercin; Misha Elena Kilmer; Saifon Chaturantabut; Christopher A. Beattie; Meghan O'Connell (SIAM J. Sci. Comput., 2015)

Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography. - Meghan O'Connell; Misha E. Kilmer; Eric de Sturler; Serkan Gugercin (SIAM J. Sci. Comput., 2017)

Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors. - Selin S. Aslan; Eric de Sturler; Misha E. Kilmer (SIAM J. Sci. Comput., 2019)

A survey of subspace recycling iterative methods. - Kirk M. Soodhalter; Eric de Sturler; Misha E. Kilmer (CoRR, 2020)

Robust Parameter Inversion using Adaptive Reduced Order Models. - Drayton Munster; Eric de Sturler (CoRR, 2020)

Randomization for the Efficient Computation of Parametric Reduced Order Models for Inversion. - Selin S. Aslan; Eric de Sturler; Serkan Gugercin (CoRR, 2020)

Krylov Subspace Recycling for Evolving Structures. - Matthias Bolten; Eric de Sturler; Camilla Hahn (CoRR, 2020)

Efficient edge-preserving methods for dynamic inverse problems. - Mirjeta Pasha; Arvind K. Saibaba; Silvia Gazzola; Malena I. Español; Eric de Sturler (CoRR, 2021)

Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems. - Arvind K. Saibaba; Pranjal Prasad; Eric de Sturler; Eric L. Miller 001; Misha E. Kilmer (J. Comput. Phys., 2021)

Preconditioning Parametrized Linear Systems. - Arielle Carr; Eric de Sturler; Serkan Gugercin (SIAM J. Sci. Comput., 2021)

Hybrid Projection Methods with Recycling for Inverse Problems. - Jiahua Jiang; Julianne Chung; Eric de Sturler (SIAM J. Sci. Comput., 2021)

Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR). - Ege Ozsar; Misha Elena Kilmer; Eric L. Miller 001; Eric de Sturler; Arvind K. Saibaba (CoRR, 2022)

Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix. - Arielle K. Carr; Eric de Sturler; Mark Embree (CoRR, 2022)

Subspace Recycling for Sequences of Shifted Systems with Applications in Image Recovery. - Misha E. Kilmer; Eric de Sturler (CoRR, 2023)

Recycling MMGKS for large-scale dynamic and streaming data. - Mirjeta Pasha; Eric de Sturler; Misha E. Kilmer (CoRR, 2023)

Stopping Criteria for the Conjugate Gradient Algorithm in High-Order Finite Element Methods. - Yichen Guo; Eric de Sturler; Tim Warburton (SIAM J. Sci. Comput., 2025)

An Adaptive Mixed Precision and Dynamically Scaled Preconditioned Conjugate Gradient Algorithm. - Yichen Guo; Eric de Sturler; Tim Warburton (CoRR, 2025)