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    Accelerating VASP electronic structure calculations using graphic processing units

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    Type
    Article
    Authors
    Hacene, Mohamed
    Anciaux-Sedrakian, Ani
    Rozanska, Xavier
    Klahr, Diego
    Guignon, Thomas
    Fleurat-Lessard, Paul
    KAUST Grant Number
    UK-C0017
    Date
    2012-08-20
    Online Publication Date
    2012-08-20
    Print Publication Date
    2012-12-15
    Permanent link to this record
    http://hdl.handle.net/10754/597443
    
    Metadata
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    Abstract
    We present a way to improve the performance of the electronic structure Vienna Ab initio Simulation Package (VASP) program. We show that high-performance computers equipped with graphics processing units (GPUs) as accelerators may reduce drastically the computation time when offloading these sections to the graphic chips. The procedure consists of (i) profiling the performance of the code to isolate the time-consuming parts, (ii) rewriting these so that the algorithms become better-suited for the chosen graphic accelerator, and (iii) optimizing memory traffic between the host computer and the GPU accelerator. We chose to accelerate VASP with NVIDIA GPU using CUDA. We compare the GPU and original versions of VASP by evaluating the Davidson and RMM-DIIS algorithms on chemical systems of up to 1100 atoms. In these tests, the total time is reduced by a factor between 3 and 8 when running on n (CPU core + GPU) compared to n CPU cores only, without any accuracy loss. © 2012 Wiley Periodicals, Inc.
    Citation
    Hacene M, Anciaux-Sedrakian A, Rozanska X, Klahr D, Guignon T, et al. (2012) Accelerating VASP electronic structure calculations using graphic processing units. Journal of Computational Chemistry 33: 2581–2589. Available: http://dx.doi.org/10.1002/jcc.23096.
    Sponsors
    Contract/grant sponsor: King Abdullah University of Science and Technology (KAUST, Award No. UK-C0017).
    Publisher
    Wiley
    Journal
    Journal of Computational Chemistry
    DOI
    10.1002/jcc.23096
    PubMed ID
    22903247
    ae974a485f413a2113503eed53cd6c53
    10.1002/jcc.23096
    Scopus Count
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