Can not successfully compile VASP in GPU
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Re: Can not successfully compile VASP in GPU
No. I installed only one version of it (the latest version)
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Re: Can not successfully compile VASP in GPU
No. Unfortunately I don't have access to an older version. Do i need to install one? and how will that effect my already compiled codes such as QE
Last edited by bhargabkakati on Mon Apr 29, 2024 4:37 pm, edited 1 time in total.
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Re: Can not successfully compile VASP in GPU
update :
Even though I am not able to execute test run using the vasp_ncl compiled using "makefile.include.nvhpc_omp_acc", I was able to successfully compile vasp with "makefile.include.nvhpc_ompi_mkl_omp_acc". But it is not very sped up. Even the CPU version compiled with "makefile.include.nvhpc_ompi_mkl_omp" runs 6-7 times faster (in 8 cores) than the GPU version. Is there any reason for that? or am I making some mistakes? Here I have attached the INCAR, POSCAR, KPOINTS, POTCAR and OUTCAR, and OSZICAR of both CPU and GPU runs.
Thank you.
Even though I am not able to execute test run using the vasp_ncl compiled using "makefile.include.nvhpc_omp_acc", I was able to successfully compile vasp with "makefile.include.nvhpc_ompi_mkl_omp_acc". But it is not very sped up. Even the CPU version compiled with "makefile.include.nvhpc_ompi_mkl_omp" runs 6-7 times faster (in 8 cores) than the GPU version. Is there any reason for that? or am I making some mistakes? Here I have attached the INCAR, POSCAR, KPOINTS, POTCAR and OUTCAR, and OSZICAR of both CPU and GPU runs.
Thank you.
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Re: Can not successfully compile VASP in GPU
Ok, it seems that you could compile the code on the GPU. There are several reasons that may explain a disappointing performance:
1) Your GPU model is RTX A6000, which is not among the recommended ones because it does not offer fast double-precision floating-point arithmetic (FP64) performance (see https://www.vasp.at/wiki/index.php/Open ... rt_of_VASP). Your model is described at https://www.techpowerup.com/gpu-specs/rtx-a6000.c3686 where "FP64 (double): 604.8 GFLOPS (1:64)" means that double-precision operations are 64 times slower than in single precision. A good GPU should have a "(1:2)" ratio (double slower than single by a factor 2). See also discussion at https://www.vasp.at/forum/viewtopic.php?t=19500#p26214
2) The benefit of running on a GPU depends on the calculation: size of the cell, method, used options, etc. You should make timing comparisons on various types of systems.
1) Your GPU model is RTX A6000, which is not among the recommended ones because it does not offer fast double-precision floating-point arithmetic (FP64) performance (see https://www.vasp.at/wiki/index.php/Open ... rt_of_VASP). Your model is described at https://www.techpowerup.com/gpu-specs/rtx-a6000.c3686 where "FP64 (double): 604.8 GFLOPS (1:64)" means that double-precision operations are 64 times slower than in single precision. A good GPU should have a "(1:2)" ratio (double slower than single by a factor 2). See also discussion at https://www.vasp.at/forum/viewtopic.php?t=19500#p26214
2) The benefit of running on a GPU depends on the calculation: size of the cell, method, used options, etc. You should make timing comparisons on various types of systems.
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Re: Can not successfully compile VASP in GPU
hello, thank you for the relevant information.
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Re: Can not successfully compile VASP in GPU
I have run your calculation (iron with spin-orbit coupling) on a machine with a GPU (NVIDIA A30) that has a fast double-precision floating-point arithmetic FP64. Similar as for you, the calculation on the GPU is much slower (by roughly 5 times) than on the CPU with 8 cores. So, this particular calculation is not a good case to show the power of VASP on GPU.
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Re: Can not successfully compile VASP in GPU
Thank you for sharing this information. Currently I am running different calculations on CPU and GPU to set up a benchmark, and so far, my CPU has been 2-3 times faster than my GPU.
CPU - Intel® Xeon(R) w9-3475X × 72 (hyperthreading on)
CPU - Intel® Xeon(R) w9-3475X × 72 (hyperthreading on)
Last edited by bhargabkakati on Thu May 02, 2024 5:13 am, edited 1 time in total.