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Enhancement of the GW Space-Time Program Code for Accurate Prediction of the Electronic Properties of Organic Electronics Materials

In: Sustained Simulation Performance 2018 and 2019

Author

Listed:
  • Susumu Yanagisawa

    (University of the Ryukyus, Department of Physics and Earth Sciences, Faculty of Science)

  • Takeshi Yamashita

    (Information Infrastructure Division, Information Department, Tohoku University)

  • Ryusuke Egawa

    (Cyberscience Center, Tohoku University)

Abstract

For large-scale efficiently parallelized electronic structure calculation within the GW approximation, we modified the MPI-parallelized version of the GW space-time program. To reduce the communication time required for computation of the inverse of the complex dielectric matrix, which is one of the bottlenecks of the program, the ScaLapack library codes employed for the LU-decomposition matrix inversion was replaced with the Lapack counterpart implemented with the intranode task parallelization. As a result, the elapsed time for matrix inversion significantly reduced, along with improvement on the parallelization efficiency for the number of nodes or cores. In addition, the intranode task parallelization for inversion with OpenMP was found to show reasonable parallelization efficiency with respect to the number of threads inside a node. Overall, the improvement in computation time will allow us to investigate not only the electronic structure of bulk phases, but also those of surfaces and interfaces of organic molecular crystals.

Suggested Citation

  • Susumu Yanagisawa & Takeshi Yamashita & Ryusuke Egawa, 2020. "Enhancement of the GW Space-Time Program Code for Accurate Prediction of the Electronic Properties of Organic Electronics Materials," Springer Books, in: Michael M. Resch & Yevgeniya Kovalenko & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi (ed.), Sustained Simulation Performance 2018 and 2019, pages 225-234, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-39181-2_18
    DOI: 10.1007/978-3-030-39181-2_18
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