The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques. - Azzam Haidar; Ahmad Abdelfattah; Mawussi Zounon; Panruo Wu; Srikara Pranesh; Stanimire Tomov; Jack J. Dongarra (ICCS (1), 2018)

Simulating Low Precision Floating-Point Arithmetic. - Nicholas J. Higham; Srikara Pranesh (SIAM J. Sci. Comput., 2019)

Squeezing a Matrix into Half Precision, with an Application to Solving Linear Systems. - Nicholas J. Higham; Srikara Pranesh; Mawussi Zounon (SIAM J. Sci. Comput., 2019)

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. - Ahmad Abdelfattah; Hartwig Anzt; Erik G. Boman; Erin C. Carson; Terry Cojean; Jack J. Dongarra; Mark Gates; Thomas Grützmacher; Nicholas J. Higham; Xiaoye Sherry Li; Neil Lindquist; Yang Liu 179; et al. (CoRR, 2020)

Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores. - Pierre Blanchard; Nicholas J. Higham; Florent Lopez; Théo Mary; Srikara Pranesh (SIAM J. Sci. Comput., 2020)

Three-Precision GMRES-Based Iterative Refinement for Least Squares Problems. - Erin C. Carson; Nicholas J. Higham; Srikara Pranesh (SIAM J. Sci. Comput., 2020)

A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. - Ahmad Abdelfattah; Hartwig Anzt; Erik G. Boman; Erin C. Carson; Terry Cojean; Jack J. Dongarra; Alyson Fox; Mark Gates; Nicholas J. Higham; Xiaoye S. Li; Jennifer A. Loe; Piotr Luszczek; et al. (Int. J. High Perform. Comput. Appl., 2021)

Numerical behavior of NVIDIA tensor cores. - Massimiliano Fasi; Nicholas J. Higham; Mantas Mikaitis; Srikara Pranesh (PeerJ Comput. Sci., 2021)

Random Matrices Generating Large Growth in LU Factorization with Pivoting. - Desmond J. Higham; Nicholas J. Higham; Srikara Pranesh (SIAM J. Matrix Anal. Appl., 2021)

Exploiting Lower Precision Arithmetic in Solving Symmetric Positive Definite Linear Systems and Least Squares Problems. - Nicholas J. Higham; Srikara Pranesh (SIAM J. Sci. Comput., 2021)