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Publications of Torsten Hoefler  
Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler:
 
  |  |   | Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
   (In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Nov. 2019) 
  Publisher Reference
 
 AbstractDesigning efficient cooling systems for integrated circuits (ICs)
relies on a deep understanding of the electro-thermal properties of
transistors. To shed light on this issue in currently fabricated Fin-
FETs, a quantum mechanical solver capable of revealing atomically-
resolved electron and phonon transport phenomena from first-
principles is required. In this paper, we consider a global, data-
centric view of a state-of-the-art quantum transport simulator to op-
timize its execution on supercomputers. The approach yields coarse-
and fine-grained data-movement characteristics, which are used
for performance and communication modeling, communication-
avoidance, and data-layout transformations. The transformations
are tuned for the Piz Daint and Summit supercomputers, where each
platform requires different caching and fusion strategies to perform
optimally. The presented results make ab initio device simulation
enter a new era, where nanostructures composed of over 10,000
atoms can be investigated at an unprecedented level of accuracy,
paving the way for better heat management in next-generation ICs. 
 
 DocumentsPublisher URL: https://doi.org/10.1145/3295500.3356200download article:        download slides:      |  |   | BibTeX |  @inproceedings{,   author={Alexandros Nikolaos Ziogas and Tal Ben-Nun and Guillermo Indalecio Fernández and Timo Schneider and Mathieu Luisier and Torsten Hoefler},   title={{Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming}},   year={2019},   month={Nov.},   booktitle={Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19)},   source={http://www.unixer.de/~htor/publications/}, } |  
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