activity
20042025
most citedA Survey of Numerical Methods Utilizing Mixed Precision Arithmetic

24 citations · 46 across the 17 of their papers we have counts for

collaborators

19 papers

math.NA2025

A High Performance GPU CountSketch Implementation and Its Application to Multisketching and Least Squares Problems

Andrew J. Higgins, Erik G. Boman, Ichitaro Yamazaki

Random sketching is a dimensionality reduction technique that approximately preserves norms and singular values up to some distortion factor with high probability. The most…

math.NA2025

Random-sketching Techniques to Enhance the Numerical Stability of Block Orthogonalization Algorithms for s-step GMRES

Ichitaro Yamazaki, Andrew J. Higgins, Erik G. Boman +1

We integrate random sketching techniques into block orthogonalization schemes needed for s-step GMRES. The resulting block orthogonalization schemes generate the basis vectors whos…

math.NA2024★ 1 cited

Two-Stage Block Orthogonalization to Improve Performance of -step GMRES

Ichitaro Yamazaki, Andrew J. Higgins, Erik G. Boman +1

On current computer architectures, GMRES' performance can be limited by its communication cost to generate orthonormal basis vectors of the Krylov subspace. To address this perform…

math.NA2023★ 1 cited

Analysis of Randomized Householder-Cholesky QR Factorization with Multisketching

Andrew J. Higgins, Daniel B. Szyld, Erik G. Boman +1

CholeskyQR2 and shifted CholeskyQR3 are two state-of-the-art algorithms for computing tall-and-skinny QR factorizations since they attain high performance on current computer archi…

cs.DC2023

Jet: Multilevel Graph Partitioning on Graphics Processing Units

Michael S. Gilbert, Kamesh Madduri, Erik G. Boman +1

The multilevel heuristic is the dominant strategy for high-quality sequential and parallel graph partitioning. Partition refinement is a key step of multilevel graph partitioning.…

cs.DC2021

A Study of Mixed Precision Strategies for GMRES on GPUs

Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki +2

Support for lower precision computation is becoming more common in accelerator hardware due to lower power usage, reduced data movement and increased computational performance. How…