This title appears in the Scientific Report : 2019 

Analytical PAW Projector Functions for Reduced Bandwidth Requirements
Baumeister, Paul F. (Corresponding author)
Tsukamoto, Shigeru
JARA - HPC; JARA-HPC
JARA-FIT; JARA-FIT
Quanten-Theorie der Materialien; PGI-1
Quanten-Theorie der Materialien; IAS-1
Jülich Supercomputing Center; JSC
2019
Platform for Advanced Scientific Computing Conference, Zurich (Switzerland), 2019-06-12 - 2019-06-14
Conference Presentation
Controlling Configuration-Based Phenomena
Controlling Spin-Based Phenomena
Computational Science and Mathematical Methods
OpenAccess
Please use the identifier: http://hdl.handle.net/2128/23603 in citations.
Large scale electronic structure calculations require modern high performance computing (HPC) resources and, as important, mature HPC applications that can make efficient use of those. Real-space grid-based applications of Density Functional Theory (DFT) using the Projector Augmented Wave method (PAW) 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 performance critical part due to their limitation by the available memory bandwidth. We investigate on the utility of a 3D factorizable basis of Hermite functions for the localized PAW projector functions which allows to reduce the bandwidth requirements for the grid representation of the projector functions in projection operations. Additional on-the-fly sampling of the 1D basis functions eliminates the memory transfer almost entirely. For an quantitative assessment of the expected memory bandwidth savings we show performance results of a first implementation on GPUs. Finally, we suggest a PAW generation scheme adjusted to the analytically given projector functions.