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• W2139717429 abstract "We suggest and implement a parallelization scheme based on an efficient multiband eigenvalue solver, called the locally optimal block preconditioned conjugate gradient LOBPCG method, and using an optimized three-dimensional (3D) fast Fourier transform (FFT) in the ab initio}plane-wave code ABINIT. In addition to the standard data partitioning over processors corresponding to different k-points, we introduce data partitioning with respect to blocks of bands as well as spatial partitioning in the Fourier space of coefficients over the plane waves basis set used in ABINIT. This k-points-multiband-FFT parallelization avoids any collective communications on the whole set of processors relying instead on one-dimensional communications only. For a single k-point, super-linear scaling is achieved for up to 100 processors due to an extensive use of hardware optimized BLAS, LAPACK, and SCALAPACK routines, mainly in the LOBPCG routine. We observe good performance up to 200 processors. With 10 k-points our three-way data partitioning results in linear scaling up to 1000 processors for a practical system used for testing." @default.
• W2139717429 created "2016-06-24" @default.
• W2139717429 creator A5029262146 @default.
• W2139717429 creator A5031544598 @default.
• W2139717429 creator A5033862489 @default.
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• W2139717429 date "2008-04-01" @default.
• W2139717429 modified "2023-09-30" @default.
• W2139717429 title "Large-scale ab initio calculations based on three levels of parallelization" @default.
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• W2139717429 doi "https://doi.org/10.1016/j.commatsci.2007.07.019" @default.
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