A parallel Buchberger algorithm for multigraded ideals
Mikael Vejdemo-Johansson, Emil Sk\"oldberg, Jason Dusek

TL;DR
This paper introduces a parallel algorithm for computing Gröbner bases of multigraded ideals, leveraging lattice anti-chains to identify independent S-polynomials for efficient reduction.
Contribution
It presents a novel parallelization technique for Gröbner basis computation in multigraded polynomial rings using lattice anti-chains.
Findings
Achieves parallel computation of Gröbner bases for multigraded ideals.
Uses lattice anti-chains to identify independent S-polynomials.
Improves efficiency of Gröbner basis algorithms in multigraded settings.
Abstract
We demonstrate a method to parallelize the computation of a Gr\"obner basis for a homogenous ideal in a multigraded polynomial ring. Our method uses anti-chains in the lattice to separate mutually independent S-polynomials for reduction.
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Taxonomy
TopicsPolynomial and algebraic computation · Commutative Algebra and Its Applications · Algebraic Geometry and Number Theory
