2 citations · 2 across the 2 of their papers we have counts for
2 papers
math.NA2019★ 2 cited
Polynomial Preconditioned GMRES to Reduce Communication in Parallel Computing
Jennifer A. Loe, Heidi K. Thornquist, Erik G. Boman
Polynomial preconditioning with the GMRES minimal residual polynomial has the potential to greatly reduce orthogonalization costs, making it useful for communication reduction. We…
cs.DC2016
Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts
Joshua Dennis Booth, Sivasankaran Rajamanickam, Heidi K. Thornquist
Scalable sparse LU factorization is critical for efficient numerical simulation of circuits and electrical power grids. In this work, we present a new scalable sparse direct solver…