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Massivelly parallel modular algorithms for the image of rational maps

Thesis (MSc)--Stellenbosch University, 2024.

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Main Author: Rakotoarisoa, Hobihasina Patrick
Other Authors: Basson, Dirk
Format: Thesis
Language:en_ZA
en_ZA
Published: Stellenbosch : Stellenbosch University 2024
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access_status_str Open Access
author Rakotoarisoa, Hobihasina Patrick
author2 Basson, Dirk
author_browse Basson, Dirk
Rakotoarisoa, Hobihasina Patrick
author_facet Basson, Dirk
Rakotoarisoa, Hobihasina Patrick
author_sort Rakotoarisoa, Hobihasina Patrick
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MSc)--Stellenbosch University, 2024.
format Thesis
id oai:scholar.sun.ac.za:10019.1/130511
institution Stellenbosch University (South Africa)
language en_ZA
en_ZA
last_indexed 2026-06-10T12:42:03.173Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/130511 Massivelly parallel modular algorithms for the image of rational maps Rakotoarisoa, Hobihasina Patrick Basson, Dirk Bohm, Janko Marais, Magdaleen Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Computer algorithms -- Mathematics Algorithms Parallel algorithms -- Mathematical models Modular methods Data structures (Computer science) Gröbner bases Geometry, Algebraic -- Data processing Rational map Algebraic varieties UCTD Thesis (MSc)--Stellenbosch University, 2024. ENGLISH ABSTRACT: Modular methods are a tool which can be applied in computer algebra to signifi‑ cantly improve the performance of algorithms in characteristic 0 by addressing the problem of intermediate coefficient growth. Computations are done simul‑ taneously over multiple finite fields by reducing the input data, applying the algorithm under consideration in positive characteristic, and then lifting the modular results to the rationals via Chinese remaindering and the Farey map. Even in the existence of bad primes, error tolerance of this process ensures that for a sufficiently large set of good primes the approach terminates with the cor‑ rect answer. The method is clearly parallel and has the potential to scale across multiple computers. It has been applied for various use cases, for example, for the computation of Gröbner bases. In this thesis, we provide a generic modular approach which is applicable to polynomial data structures arising from com‑ mutative algebra and algebraic geometry, such as modules, varieties, and ratio‑ nal maps. Moreover, we develop a massively parallel framework for modular computations, which we model in terms of Petri nets. We give an implementa‑ tion relying on the SINGULAR/GPI‑SPACE framework. AFRIKAANSE OPSOMMING: Modulêre metodes is gereedskap wat toegepas kan word in berekeningsalgebra om die prestasie van algoritmes in karakteristiek 0 aansienlik te verbeter deur die probleem van intermediêre koëffisiëntegroei aan te spreek. Berekeninge word gelyktydig oor verskeie eindige liggame uitgevoer deur die invoerdata te beperk, die algoritme onder oorweging in positiewe karakteristiek toe te pas, en dan die modulêre resultate na die rasionele getalle te verhef deur middel van Chinese reste en die Farey‑afbeelding. Selfs indien slegte priemgetalle voor‑ kom, verseker die fouttoleransie van hierdie proses dat vir ’n voldoende groot versameling goeie priemgetalle die benadering met die korrekte antwoord ter‑ mineer. Die metode is duidelik parallel en het die potensiaal om oor verskeie rekenaars te skaal. Dit is aangewend vir verskeie gevalle, byvoorbeeld, vir die berekening van Gröbner‑basisse. In hierdie tesis verskaf ons ’n generiese mo‑ dulêre benadering wat van toepassing is op polinoomdatastrukture wat voort‑ spruit uit kommutatiewe algebra en algebraı̈ese meetkunde, soos modules, va‑ riëteite, en rasionele afbeeldings. Daarbenewens ontwikkel ons ’n grootskaalse parallelle raamwerk vir modulêre berekeninge, wat ons modelleer in terme van Petri‑netwerke. Ons gee ’n implementering wat gebasseer is op die SIN‑ GULAR/GPI‑SPACE raamwerk. Masters 2024-03-04T10:31:55Z 2024-04-26T20:16:26Z 2024-03-04T10:31:55Z 2024-04-26T20:16:26Z 2024-03 Thesis https://scholar.sun.ac.za/handle/10019.1/130511 en_ZA en_ZA Stellenbosch University ix, 123 pages : illustrations application/pdf Stellenbosch : Stellenbosch University
spellingShingle Computer algorithms -- Mathematics
Algorithms
Parallel algorithms -- Mathematical models
Modular methods
Data structures (Computer science)
Gröbner bases
Geometry, Algebraic -- Data processing
Rational map
Algebraic varieties
UCTD
Rakotoarisoa, Hobihasina Patrick
Massivelly parallel modular algorithms for the image of rational maps
title Massivelly parallel modular algorithms for the image of rational maps
title_full Massivelly parallel modular algorithms for the image of rational maps
title_fullStr Massivelly parallel modular algorithms for the image of rational maps
title_full_unstemmed Massivelly parallel modular algorithms for the image of rational maps
title_short Massivelly parallel modular algorithms for the image of rational maps
title_sort massivelly parallel modular algorithms for the image of rational maps
topic Computer algorithms -- Mathematics
Algorithms
Parallel algorithms -- Mathematical models
Modular methods
Data structures (Computer science)
Gröbner bases
Geometry, Algebraic -- Data processing
Rational map
Algebraic varieties
UCTD
url https://scholar.sun.ac.za/handle/10019.1/130511
work_keys_str_mv AT rakotoarisoahobihasinapatrick massivellyparallelmodularalgorithmsfortheimageofrationalmaps