Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale Ab Initio Nuclear Structure Calculations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F18%3A00321130" target="_blank" >RIV/68407700:21240/18:00321130 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21340/18:00321130
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-78054-2_32" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-78054-2_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-78054-2_32" target="_blank" >10.1007/978-3-319-78054-2_32</a>
Alternative languages
Result language
angličtina
Original language name
Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale Ab Initio Nuclear Structure Calculations
Original language description
We address the problem of generating a many-nucleon basis for ab initio nuclear structure modeling, which quickly becomes a significant runtime bottleneck for large model spaces. We first analyze the original basis generation algorithm, which does not employ multi-threading parallel paradigm. Based on the analysis, we propose and empirically evaluate a new efficient scalable basis generation algorithm. We report a reduction of basis generation runtime by a factor of 42 on the Blue Waters supercomputer and by two orders of magnitude on our test-bed computer system with Broadwell CPUs.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-16772S" target="_blank" >GA16-16772S: Development of symmetry-guided methods for first principle modeling of medium-mass atomic nuclei</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Parallel Processing and Applied Mathematics Part II.
ISBN
978-3-319-78053-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
341-350
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Lublin
Event date
Sep 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458563900032