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Hierarchical approach for deriving a reproducible unblocked LU factorization., , , and . Int. J. High Perform. Comput. Appl., (2019)Reproducibility of parallel preconditioned conjugate gradient in hybrid programming environments., , , , and . Int. J. High Perform. Comput. Appl., (2020)White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing., , , , , , , , , and 8 other author(s). CoRR, (2020)General Framework for Deriving Reproducible Krylov Subspace Algorithms: BiCGStab Case., , and . PPAM (1), volume 13826 of Lecture Notes in Computer Science, page 16-29. Springer, (2022)Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments., , , , and . CoRR, (2020)Gauss-Newton-Secant Method for Solving Nonlinear Least Squares Problems under Generalized Lipschitz Conditions., , , , and . Axioms, 10 (3): 158 (2021)Reproducible Triangular Solvers for High-Performance Computing., , , and . ITNG, page 353-358. IEEE Computer Society, (2015)Interoperability strategies for GASPI and MPI in large-scale scientific applications., , , , , , , , and . Int. J. High Perform. Comput. Appl., (2019)Reproducibility, accuracy and performance of the Feltor code and library on parallel computer architectures., , , , , and . Comput. Phys. Commun., (2019)General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods., , and . Int. J. High Perform. Comput. Appl., 38 (1): 17-33 (January 2024)