CUDA-C GPU port of VASP: Difference between revisions

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Several core algorithms of VASP have been ported to run on GPU-accelerated hardware (as of VASP.5.4.1.05Feb16).
Several core algorithms of VASP have been ported to run on GPU-accelerated hardware (as of VASP.5.4.1.05Feb16).


;Ported to run on GPU-accelerated hardware:
;Explicity ported to run on GPU-accelerated hardware:
* {{TAG|ALGO}}= Normal, Fast, and VeryFast have been ported to GPU.
* {{TAG|ALGO}}= Normal, Fast, and VeryFast have been ported to GPU.
* {{TAG|LHFCALC}}=.TRUE.
* {{TAG|LHFCALC}}=.TRUE.

Revision as of 19:03, 8 February 2016

Several core algorithms of VASP have been ported to run on GPU-accelerated hardware (as of VASP.5.4.1.05Feb16).

Explicity ported to run on GPU-accelerated hardware
  • ALGO= Normal, Fast, and VeryFast have been ported to GPU.
  • LHFCALC=.TRUE.
Unsuported (for now)
  • LREAL=.TRUE. is currently unsuported . The GPU port of VASP requires the use of real-space-projection operators (i.e., LREAL= Auto | .TRUE.).
  • LCALCEPS=.TRUE.
  • The gamma-only version of VASP has not been ported to GPU (yet).


N.B.: The GPU port of VASP is freely available to VASP5-licensees.

People

The GPU port of VASP only exist because of the excellent work of the following people:

  • Maxwell Hutchinson (University of Chicago) and Mike Widom (Carnegie Mellon)
  • Xavier Rozanska and Paul Fleurat-Lessard (ENS-Lyon)
  • Mohamed Hacene, Ani Anciaux-Sedrakian, Diego Klahr, and Thomas Guignon (IFPEN)
  • Jeroen Bedorf, Przemyslaw Tredak, Dusan Stosic, Arash Ashari, Paul Springer Darko Stosic, Christoph Angerer, and Sarah Tariq (NVIDIA)

Publications

Additional information


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