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000830547 0247_ $$2ISSN$$a1611-3349
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000830547 020__ $$a978-3-319-58943-5
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000830547 037__ $$aFZJ-2017-04079
000830547 041__ $$aEnglish
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000830547 1001_ $$0P:(DE-Juel1)156619$$aBaumeister, Paul F.$$b0$$eCorresponding author
000830547 1112_ $$aEuro-Par 2016 International Workshops$$cGrenoble$$d2016-08-24 - 2016-08-26$$wFrance
000830547 245__ $$aExploiting In-Memory Processing Capabilities for Density Functional Theory Applications
000830547 260__ $$aCham$$bSpringer International Publishing$$c2017
000830547 29510 $$aEuro-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
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000830547 4900_ $$aLecture Notes in Computer Science$$v10104
000830547 520__ $$aProcessing-in-memory (PIM) is an approach to address the data transport challenge in future HPC architectures and various designs have been explored in the past. Despite, it remains unclear how scien- tific applications could efficiently exploit massively-parallel HPC archi- tectures integrating PIM modules. In this paper we address this question for material science applications for which we ported relevant kernels to the Active Memory Cube architecture developed by IBM Research.
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000830547 7001_ $$0P:(DE-Juel1)176815$$aHater, Thorsten$$b1$$ufzj
000830547 7001_ $$0P:(DE-Juel1)144441$$aPleiter, Dirk$$b2$$ufzj
000830547 7001_ $$0P:(DE-HGF)0$$aBoettiger, Hans$$b3
000830547 7001_ $$0P:(DE-HGF)0$$aMaurer, Thilo$$b4
000830547 7001_ $$0P:(DE-HGF)0$$aBrunheroto, Jose R.$$b5
000830547 773__ $$a10.1007/978-3-319-58943-5_60$$n60
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