GPU Acceleration of BerkeleyGW has been selected as a finalist for the 2020 Gordon Bell Prize

Our work “Accelerating large-scale excited-state GW calculations on leadership HPC systems” (authored by M. Del Ben, C. Yang, Z. Li, F. H. da Jornada, S. G. Louie, and J. Deslippe) has been selected as a finalist for the 2020 Gordon Bell Prize. In this work, the GPU-accelerated BerkeleyGW has been successfully running at full scale of the Summit machine at Oak Ridge Leadership Computing Facility, utilizing 27,648 GPUs, and reaching 105.9 petaFLOP/s in double precision, 52.7 of the machine peak. A silicon divacancy structure of over 2,700 atoms and over 10,000 electrons is solved with a time-to-solution of 10 minutes.

News releases:

https://cs.lbl.gov/news-media/news/2020/crdnersc-led-paper-a-gordon-bell-finalist-at-sc20/

https://www.olcf.ornl.gov/2020/11/10/four-teams-using-ornls-summit-supercomputer-named-finalists-in-2020-gordon-bell-prize/

This work has been presented at the virtual SC20 meeting. The video presentation is available at: https://youtu.be/lMOg-oFVCWg

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