Optimizing the data movement in quantum transport simulations via data-centric parallel programming

@article{Ziogas2019OptimizingTD,
  title={Optimizing the data movement in quantum transport simulations via data-centric parallel programming},
  author={Alexandros Nikolaos Ziogas and Tal Ben-Nun and G. Fern{\'a}ndez and Timo Schneider and M. Luisier and Torsten Hoefler},
  journal={Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis},
  year={2019}
}
Designing 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 optimize its execution on… Expand
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