Using device 1 (rank 1, local rank 1, local size 6) : Tesla K80
Using device 0 (rank 0, local rank 0, local size 6) : Tesla K80
Using device 2 (rank 2, local rank 2, local size 6) : Tesla K80
Using device 5 (rank 5, local rank 5, local size 6) : Tesla K80
Using device 4 (rank 4, local rank 4, local size 6) : Tesla K80
Using device 3 (rank 3, local rank 3, local size 6) : Tesla K80
running on 6 total cores
distrk: each k-point on 6 cores, 1 groups
distr: one band on 1 cores, 6 groups
*******************************************************************************
You are running the GPU port of VASP! When publishing results obtained with
this version, please cite:
- M. Hacene et al., http://dx.doi.org/10.1002/jcc.23096
- M. Hutchinson and M. Widom, http://dx.doi.org/10.1016/j.cpc.2012.02.017
in addition to the usual required citations (see manual).
GPU developers: A. Anciaux-Sedrakian, C. Angerer, and M. Hutchinson.
*******************************************************************************
-----------------------------------------------------------------------------
| |
| W W AA RRRRR N N II N N GGGG !!! |
| W W A A R R NN N II NN N G G !!! |
| W W A A R R N N N II N N N G !!! |
| W WW W AAAAAA RRRRR N N N II N N N G GGG ! |
| WW WW A A R R N NN II N NN G G |
| W W A A R R N N II N N GGGG !!! |
| |
| Please note that VASP has recently been ported to GPU by means of |
| OpenACC. You are running the CUDA-C GPU-port of VASP, which is |
| deprecated and no longer actively developed, maintained, or |
| supported. In the near future, the CUDA-C GPU-port of VASP will be |
| dropped completely. We encourage you to switch to the OpenACC |
| GPU-port of VASP as soon as possible. |
| |
-----------------------------------------------------------------------------
vasp.6.2.1 16May21 (build Apr 11 2022 11:03:26) complex
MD_VERSION_INFO: Compiled 2022-04-11T18:25:55-UTC in devlin.sd.materialsdesign.
com:/home/medea2/data/build/vasp6.2.1/16685/x86_64/src/src/build/gpu from svn 1
6685
This VASP executable licensed from Materials Design, Inc.
POSCAR found type information on POSCAR SnO H
POSCAR found : 3 types and 22 ions
NWRITE = 1
NWRITE = 1
NWRITE = 1
NWRITE = 1
NWRITE = 1
NWRITE = 1
-----------------------------------------------------------------------------
| |
| W W AA RRRRR N N II N N GGGG !!! |
| W W A A R R NN N II NN N G G !!! |
| W W A A R R N N N II N N N G !!! |
| W WW W AAAAAA RRRRR N N N II N N N G GGG ! |
| WW WW A A R R N NN II N NN G G |
| W W A A R R N N II N N GGGG !!! |
| |
| For optimal performance we recommend to set |
| NCORE = 2 up to number-of-cores-per-socket |
| NCORE specifies how many cores store one orbital (NPAR=cpu/NCORE). |
| This setting can greatly improve the performance of VASP for DFT. |
| The default, NCORE=1 might be grossly inefficient on modern |
| multi-core architectures or massively parallel machines. Do your |
| own testing! More info at https://www.vasp.at/wiki/index.php/NCORE |
| Unfortunately you need to use the default for GW and RPA |
| calculations (for HF NCORE is supported but not extensively tested |
| yet). |
| |
-----------------------------------------------------------------------------
LDA part: xc-table for Pade appr. of Perdew
WARNING: The GPU port of VASP has been extensively
tested for: ALGO=Normal, Fast, and VeryFast.
Other algorithms may produce incorrect results or
yield suboptimal performance. Handle with care!
-----------------------------------------------------------------------------
| |
| W W AA RRRRR N N II N N GGGG !!! |
| W W A A R R NN N II NN N G G !!! |
| W W A A R R N N N II N N N G !!! |
| W WW W AAAAAA RRRRR N N N II N N N G GGG ! |
| WW WW A A R R N NN II N NN G G |
| W W A A R R N N II N N GGGG !!! |
| |
| The distance between some ions is very small. Please check the |
| nearest-neighbor list in the OUTCAR file. |
| I HOPE YOU KNOW WHAT YOU ARE DOING! |
| |
-----------------------------------------------------------------------------
POSCAR, INCAR and KPOINTS ok, starting setup
creating 32 CUDA streams...
creating 32 CUDA streams...
creating 32 CUDA streams...
creating 32 CUDA streams...
creating 32 CUDA streams...
creating 32 CUDA streams...
creating 32 CUFFT plans with grid size 90 x 24 x 24...
creating 32 CUFFT plans with grid size 90 x 24 x 24...
creating 32 CUFFT plans with grid size 90 x 24 x 24...
creating 32 CUFFT plans with grid size 90 x 24 x 24...
creating 32 CUFFT plans with grid size 90 x 24 x 24...
creating 32 CUFFT plans with grid size 90 x 24 x 24...
FFT: planning ...
WAVECAR not read
entering main loop
N E dE d eps ncg rms rms(c)
DAV: 1 0.231175336383E+05 0.23118E+05 -0.64831E+04 1050 0.323E+03
DAV: 2 0.204190069323E+05 -0.26985E+04 -0.25931E+04 1020 0.767E+02
-----------------------------------------------------------------------------
| |
| EEEEEEE RRRRRR RRRRRR OOOOOOO RRRRRR ### ### ### |
| E R R R R O O R R ### ### ### |
| E R R R R O O R R ### ### ### |
| EEEEE RRRRRR RRRRRR O O RRRRRR # # # |
| E R R R R O O R R |
| E R R R R O O R R ### ### ### |
| EEEEEEE R R R R OOOOOOO R R ### ### ### |
| |
| Error EDDDAV: Call to ZHEGV failed. Returncode = 19 2 24 |
| |
| ----> I REFUSE TO CONTINUE WITH THIS SICK JOB ... BYE!!! <---- |
| |
-----------------------------------------------------------------------------
*****************************
Error running VASP parallel with MPI
#!/bin/bash
cd "/home/user/MD/TaskServer/Tasks/140.123.79.184-32000-task43459"
export PATH="/home/user/MD/Linux-x86_64/IntelMPI5/bin:$PATH"
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/home/user/MD/Linux-x86_64/IntelMPI5/lib:/home/user/MD/TaskServer/Tools/vasp-gpu6.2.1/Linux-x86_64"
"/home/user/MD/Linux-x86_64/IntelMPI5/bin/mpirun" -r ssh -np 6 "/home/user/MD/TaskServer/Tools/vasp-gpu6.2.1/Linux-x86_64/vasp_gpu"
1
1
1
1
1
1
*****************************