001     867838
005     20221126155024.0
024 7 _ |a 2128/23607
|2 Handle
037 _ _ |a FZJ-2019-06440
041 _ _ |a English
100 1 _ |a Baumeister, Paul F.
|0 P:(DE-Juel1)156619
|b 0
|e Corresponding author
111 2 _ |a Platform for Advanced Scientific Computing Conference
|g PASC19
|c Zurich
|d 2019-06-12 - 2019-06-14
|w Switzerland
245 _ _ |a A Spherical Harmonic Oscillator Basis for Reduced Bandwidth Requirements
260 _ _ |c 2019
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
|2 ORCID
336 7 _ |a Output Types/Conference Poster
|2 DataCite
336 7 _ |a Poster
|b poster
|m poster
|0 PUB:(DE-HGF)24
|s 1669385827_20906
|2 PUB:(DE-HGF)
|x After Call
502 _ _ |c ETH Zurich
520 _ _ |a Large scale electronic structure calculations require modern HPC resources and, as important, mature HPC applications that can make efficient use of those. Real-space grid-based applications of Density Functional Theory using the Projector Augmented Wave method can give the same accuracy as DFT codes relying on a plane wave basis set but exhibit an improved scalability on distributed memory machines. The projection operations of the PAW Hamiltonian are known to be the most performance critical part due to their limitation by the available memory bandwidth. We investigate on the usability of a 3D factorizable basis of Hermite functions for the atomic PAW projector functions that allows to reduce and nearly to remove the bandwidth requirements for the grid representation of the projector functions in projection operations. This increases the fraction of exploitable floating-point operations on modern vectorized many-core architectures, like GPUs, by raising the arithmetic intensity of such operations.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
536 _ _ |a Simulation and Data Laboratory Quantum Materials (SDLQM) (SDLQM)
|0 G:(DE-Juel1)SDLQM
|c SDLQM
|f Simulation and Data Laboratory Quantum Materials (SDLQM)
|x 1
856 4 _ |u https://juser.fz-juelich.de/record/867838/files/20190613_SHO_Poster.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/867838/files/20190613_SHO_Poster.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:867838
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)156619
913 1 _ |a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Computational Science and Mathematical Methods
|x 0
914 1 _ |y 2019
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
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|x 0
980 _ _ |a poster
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED
980 1 _ |a FullTexts


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