Parallel Identification of Unique Sequences in Nuclear Structure Calculations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389005%3A_____%2F23%3A00573038" target="_blank" >RIV/61389005:_____/23:00573038 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/23:00366119
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-30445-3_30" target="_blank" >http://dx.doi.org/10.1007/978-3-031-30445-3_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-30445-3_30" target="_blank" >10.1007/978-3-031-30445-3_30</a>
Alternative languages
Result language
angličtina
Original language name
Parallel Identification of Unique Sequences in Nuclear Structure Calculations
Original language description
Reducing the set of sequences into the set of sequences that are unique can save a lot of memory space in computer programs. We study this problem on the symmetry-adapted no-core shell model (SA-NCSM) nuclear structure calculations, where duplicated sequences of different kinds naturally emerge in the data of the basis of the Hilbert space physically relevant to a given nucleus. For a fast solution of this problem on multicore architectures, we propose and present a multithreaded algorithm suitable for high performance computing (HPC) environments. Furthermore, we provide an experimental evaluation of this algorithm and show that, in practice, it can significantly reduce the time required to identify unique sequences in a real-world application.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10304 - Nuclear physics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science
ISBN
978-3-031-30444-6
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
357-369
Publisher name
Springer
Place of publication
Cham
Event location
Gdansk
Event date
Sep 11, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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