[gmx-users] Using multiple GPU's
paul buscemi
pbuscemi at q.com
Fri Aug 10 23:58:19 CEST 2018
Thanks Kevin. for the rapid response.
I am using 2018. I’ll check the 2018 - make sure - I was look at the proper docs. I should not note that the GPUs are not matched. a gtx 1080ti and a gtx 1060
below is some pertinent information from the log file. ( not too sure how to post a link on the user group )
Paul
> On Aug 10, 2018, at 12:31 PM, Kevin Boyd <kevin.boyd at uconn.edu> wrote:
>
> Hi,
>
> Can you post a link to your log file?
>
> Also, what version of gromacs are you using? Make sure that the
> documentation you are following corresponds to the right version of
> gromacs. If you are using v 5.1 (as the link suggests), strongly consider
> upgrading to 2018.
>
> Kevin
>
> On Fri, Aug 10, 2018 at 12:57 PM, paul buscemi <pbuscemi at q.com> wrote:
>
>>
>> Dear Uses,
>>
>> I’ve been following the examples on https://na01.safelinks.
>> protection.outlook.com/?url=http%3A%2F%2Fmanual.gromacs.
>> org%2Fdocumentation%2F5.1%2Fuser-guide%2Fmdrun-
>> performance.html&data=02%7C01%7Ckevin.boyd%40uconn.edu%
>> 7Cb67f423cb92a4abac13508d5fee27522%7C17f1a87e2a254eaab9df9d439034
>> b080%7C0%7C1%7C636695170968044387&sdata=TBSbmbdU%
>> 2F5kxRGsaD1IqLXzEbcJUJ6Kqg7ub%2B%2B9m6xc%3D&reserved=0 for setting up
>> multiple GP’s but have not succeeded.
>> Using a single GPU gmx runs well. Nvidia and gmx see the 2 PGUs. and
>> I‘ve tried mdrun with variations of -gpu_id 01, and -ntmpi, but
>> the GPUs are not put to use.
>>
>> Would someone suggest the proper signals to mdrun for two GPU’s. ?
>>
>> Running on lilnix-min sarah, I7
>>
>> thanks
>> Paul
>> --
>>
GROMACS: gmx mdrun, version 2018
Executable: /usr/local/gromacs/bin//gmx
Data prefix: /usr/local/gromacs
Working dir: /home/rgb/Desktop/PDMS
Command line:
gmx mdrun -deffnm pdms.sys.nvt -ntmpi 4 -ntomp 2 -gpu_id 01
GROMACS version: 2018
Precision: single
Memory model: 64 bit
MPI library: thread_mpi
OpenMP support: enabled (GMX_OPENMP_MAX_THREADS = 64)
GPU support: CUDA
SIMD instructions: AVX2_256
FFT library: fftw-3.3.5-fma-sse2-avx-avx2-avx2_128-avx512
RDTSCP usage: enabled
TNG support: enabled
Hwloc support: disabled
Tracing support: disabled
Built on: 2018-07-06 18:24:42
Built by: rgb at RGB [CMAKE]
Build OS/arch: Linux 4.4.0-21-generic x86_64
Build CPU vendor: Intel
Build CPU brand: Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz
Build CPU family: 6 Model: 158 Stepping: 9
Build CPU features: aes apic avx avx2 clfsh cmov cx8 cx16 f16c fma hle htt intel lahf mmx msr nonstop_tsc pcid pclmuldq pdcm pdpe1gb popcnt pse rdrnd rdtscp rtm sse2 sse3 sse4.1 sse4.2 ssse3 tdt x2apic
C compiler: /usr/bin/gcc GNU 5.4.0
C compiler flags: -march=core-avx2 -O3 -DNDEBUG -funroll-all-loops -fexcess-precision=fast
C++ compiler: /usr/bin/c++ GNU 5.4.0
C++ compiler flags: -march=core-avx2 -std=c++11 -O3 -DNDEBUG -funroll-all-loops -fexcess-precision=fast
CUDA compiler: /usr/lib/nvidia-cuda-toolkit/bin/nvcc nvcc: NVIDIA (R) Cuda compiler driver;Copyright (c) 2005-2015 NVIDIA Corporation;Built on Tue_Aug_11_14:27:32_CDT_2015;Cuda compilation tools, release 7.5, V7.5.17
CUDA compiler flags:-gencode;arch=compute_20,code=sm_20;-gencode;arch=compute_30,code=sm_30;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_52,code=compute_52;-use_fast_math;-D_FORCE_INLINES;; ;-march=core-avx2;-std=c++11;-O3;-DNDEBUG;-funroll-all-loops;-fexcess-precision=fast;
CUDA driver: 9.0
CUDA runtime: 7.50
===== latest attempt =======
Running on 1 node with total 4 cores, 8 logical cores, 2 compatible GPUs
Hardware detected:
CPU info:
Vendor: Intel
Brand: Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz
Family: 6 Model: 158 Stepping: 9
Features: aes apic avx avx2 clfsh cmov cx8 cx16 f16c fma hle htt intel lahf mmx msr nonstop_tsc pcid pclmuldq pdcm pdpe1gb popcnt pse rdrnd rdtscp rtm sse2 sse3 sse4.1 sse4.2 ssse3 tdt x2apic
Hardware topology: Basic
Sockets, cores, and logical processors:
Socket 0: [ 0 4] [ 1 5] [ 2 6] [ 3 7]
GPU info:
Number of GPUs detected: 2
#0: NVIDIA GeForce GTX 1080 Ti, compute cap.: 6.1, ECC: no, stat: compatible
#1: NVIDIA GeForce GTX 1060 6GB, compute cap.: 6.1, ECC: no, stat: compatible
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