A Multilevel, Hierarchical Sampling Technique for Spatially Correlated Random Fields. - Sarah Osborn 001; Panayot S. Vassilevski; Umberto Villa (SIAM J. Sci. Comput., 2017)

Scalable hierarchical PDE sampler for generating spatially correlated random fields using nonmatching meshes. - Sarah Osborn 001; Patrick Zulian; Thomas Benson; Umberto Villa; Rolf Krause; Panayot S. Vassilevski (Numer. Linear Algebra Appl., 2018)

Finding diverse ways to improve algebraic connectivity through multi-start optimization. - Sarah Mackay; Colin Ponce; Sarah Osborn 001; Meghan B. McGarry (J. Complex Networks, 2021)

Estimating posterior quantity of interest expectations in a multilevel scalable framework. - Hillary R. Fairbanks; Sarah Osborn 001; Panayot S. Vassilevski (Numer. Linear Algebra Appl., 2021)

Multilevel Spectral Coarsening for Graph Laplacian Problems with Application to Reservoir Simulation. - Andrew T. Barker; Stephan V. Gelever; Chak Shing Lee; Sarah V. Osborn; Panayot S. Vassilevski (SIAM J. Sci. Comput., 2021)

Replicated Computational Results (RCR) Report for "Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software". - Sarah Osborn 001 (ACM Trans. Math. Softw., 2021)

Challenges of and Opportunities for a Large Diverse Software Team. - Cody J. Balos; Piotr Luszczek; Sarah Osborn 001; James M. Willenbring; Ulrike Meier Yang (Comput. Sci. Eng., 2022)