Numerical Linear Algebra
Published March 13, 2026 | Version 1.0
Software Open

Code, Data and Results for Numerical Experiments in "Efficient Sketching-Based Summation of Tucker Tensors"

Authors/Creators

  • 1. ROR icon Virginia Tech
  • 2. EDMO icon The University of Texas at Austin
  • 3. Wake Forest University
  • 4. ROR icon Rutherford Appleton Laboratory

Description

This archive contains the companion codes, used data and computed results
for the paper:
  • R. Smith, M. Pasha, A. Galindo-Olarte, H. Al Daas, G. Ballard, J. Qiu, J. Nakao, W. Taitano; "Efficient Sketching-Based Summation of Tucker Tensors",
which implement numerical experiments for the efficient sketching-based
summation of Tucker tenors using Kronecker and Khatri-Rao sketching
(reusing factors) with a heuristic subrank selection.
 

Files

SupSmiPGetal26.zip

Files (121.0 MB)

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Additional details

Funding

U.S. National Science Foundation
Collaborative Research: Memory-aware Accelerated Solvers for Nonlinear Problems in High Dimensional Imaging Applications 2410699

Software

Programming language
MATLAB