Efficient Taylor expansion computation of multidimensional vector functions on GPU

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43966316" target="_blank" >RIV/49777513:23520/21:43966316 - isvavai.cz</a>

Result on the web

<a href="http://publikacio.uni-eszterhazy.hu/6895/" target="_blank" >http://publikacio.uni-eszterhazy.hu/6895/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.33039/ami.2021.03.004" target="_blank" >10.33039/ami.2021.03.004</a>

Result language

angličtina

Original language name

Efficient Taylor expansion computation of multidimensional vector functions on GPU

Original language description

This contribution describes a new form of the Taylor expansion for multidimensional vector functions. The proposed approach uses &quot;standard&quot; formalism of linear algebra, i.e. using vectors and matrices, which is simple, easy to implement. It leads to efficient computation on the GPU in the three dimensional case, as the GPU offers fast vector-vector computation and many parts can be done in parallel

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

ANNALES MATHEMATICAE ET INFORMATICAE

ISSN

1787-5021

e-ISSN

1787-6117

Volume of the periodical

54

Issue of the periodical within the volume

2021

Country of publishing house

HU - HUNGARY

Number of pages

13

Pages from-to

83-95

UT code for WoS article

000757996300008

EID of the result in the Scopus database

2-s2.0-85128919120