English

GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding

Data Structures and Algorithms 2026-07-29 v1 Machine Learning

Abstract

Adaptive rounding methods such as GPTQ, or equivalently Babai's nearest plane algorithm, round a real matrix to integers under a quadratic metric. They process the entries in a fixed order, one at a time, propagating each rounding error to the entries not yet processed through a triangular feedback matrix. We study the two-sided version of this task, in which fixed nonsingular basis matrices act on both the left and the right of the residual; the familiar one-sided case is the special case of an identity right basis. Vectorizing the matrix turns the two-sided objective into a quadratic metric whose Gram matrix is a Kronecker product, so the one-dimensional algorithm applies verbatim, but takes quartic time in the matrix dimension. We present GPTQ-2D, which produces the identical rounded matrix in cubic time. It rounds the entries anti-diagonal by anti-diagonal; entries on the same anti-diagonal are independent and are rounded in parallel.

Cite

@article{arxiv.2607.27042,
  title  = {GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding},
  author = {Jiale Chen and Torsten Hoefler and Dan Alistarh},
  journal= {arXiv preprint arXiv:2607.27042},
  year   = {2026}
}