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Parallelization of Modular Algorithms

Parallelization of modular algorithms
Authors: Nazeran Idrees; Gerhard Pfister; Stefan Steidel;

Parallelization of Modular Algorithms

Abstract

In this paper we investigate the parallelization of two modular algorithms. In fact, we consider the modular computation of Gröbner bases (resp. standard bases) and the modular computation of the associated primes of a zero-dimensional ideal and describe their parallel implementation in SINGULAR. Our modular algorithms to solve problems over Q mainly consist of three parts, solving the problem modulo p for several primes p, lifting the result to Q by applying Chinese remainder resp. rational reconstruction, and a part of verification. Arnold proved using the Hilbert function that the verification part in the modular algorithm to compute Gröbner bases can be simplified for homogeneous ideals (cf. \cite{A03}). The idea of the proof could easily be adapted to the local case, i.e. for local orderings and not necessarily homogeneous ideals, using the Hilbert-Samuel function (cf. \cite{Pf07}). In this paper we prove the corresponding theorem for non-homogeneous ideals in case of a global ordering.

16 pages

Keywords

G.4, decomposition, Algebra and Number Theory, Primary decomposition, Parallel computation, modular computation, Parallel numerical computation, Gröbner bases; other bases for ideals and modules (e.g., Janet and border bases), Symbolic computation and algebraic computation, Mathematics - Commutative Algebra, Commutative Algebra (math.AC), I.1.2, G.4; I.1.2, Software, source code, etc. for problems pertaining to commutative algebra, Computational Mathematics, Numerical algorithms for computer arithmetic, etc., FOS: Mathematics, Gröbner bases, Parallel algorithms in computer science, parallel computation, Modular computation, 13P10

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
Green
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