%0 Conference Paper
%A Baumeister, Paul F.
%A Hater, Thorsten
%A Pleiter, Dirk
%A Boettiger, Hans
%A Maurer, Thilo
%A Brunheroto, Jose R.
%T Exploiting In-Memory Processing Capabilities for Density Functional Theory Applications
%V 10104
%N 60
%C Cham
%I Springer International Publishing
%M FZJ-2017-04079
%@ 978-3-319-58943-5
%B Lecture Notes in Computer Science
%P 750 - 762
%D 2017
%< Euro-Par 2016: Parallel Processing Workshops / Desprez, Frederic (Editor) ; Cham : Springer International Publishing, 2017, Chapter 60 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-58942-8=978-3-319-58943-5 ; doi:10.1007/978-3-319-58943-5
%X Processing-in-memory (PIM) is an approach to address the data transport challenge in future HPC architectures and various designs have been explored in the past. Despite, it remains unclear how scien- tific applications could efficiently exploit massively-parallel HPC archi- tectures integrating PIM modules. In this paper we address this question for material science applications for which we ported relevant kernels to the Active Memory Cube architecture developed by IBM Research.
%B Euro-Par 2016 International Workshops
%C 24 Aug 2016 - 26 Aug 2016, Grenoble (France)
Y2 24 Aug 2016 - 26 Aug 2016
M2 Grenoble, France
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%U <Go to ISI:>//WOS:000529303100060
%R 10.1007/978-3-319-58943-5_60
%U https://juser.fz-juelich.de/record/830547