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The gpu_quad partition is open to any users working for a PI with a primary or secondary appointment in a pre-clinical department; to run jobs on the gpu_quad partition use the flag -p gpu_quad. If you work at an affiliate institution but are collaborating with an on-Quad PI, please contact Research Computing to gain access.

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Note

Starting from July 1st 2021 the gpu_requeue partition will be available only to users working for a PI with a primary or secondary appointment in a pre-clinical department.


For detailed information about the gpu_requeue see O2 GPU Re-Queue Partition.

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In most cases a cuda library and compiler module must be loaded in order to compile cuda programs. To see which cuda modules are available use the command module spider cuda, then use the command module load to load the desired version. Currently the latest version of Cuda toolkit available is 10.2. 

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login04:~ module spider cuda

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  cuda:
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
     Versions:
        cuda/8.0
        cuda/9.0
        cuda/10.0
        cuda/10.1
        cuda/10.2
        cuda/11.2
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  For detailed information about a specific "cuda" module (including how to load the modules) use the module's full name.
  For example:

     $ module spider cuda/9.0
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------




login01:~ module load gcc/6.2.0 cuda/10.1

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