Provided by: htcondor_8.4.2~dfsg.1-1build1_amd64 bug

Name

       condor_gpu_discovery Output - GPU-related ClassAd attributes

Synopsis

       condor_gpu_discovery -help

       condor_gpu_discovery[<options>]

Description

       condor_gpu_discoveryruns discovery software to determine the host's GPU capabilities, which are output as
       ClassAd attributes.

       This tool is not available for MAC OS platforms.

       With  no  command line options, the single ClassAd attribute  DetectedGPUs is printed. If the value is 0,
       no GPUs were detected. If one or more GPUS were detected, the value is a string, presented as a comma and
       space separated list of the GPUs discovered, where each is given  a  name  further  used  as  the  prefix
       stringin  other  attribute  names.  Where  there  is  more  than one GPU of a particular type, the prefix
       stringincludes an integer value numbering the device; these integer values monotonically increase from 0.
       For example, a discovery of two GPUs may output

       DetectedGPUs="CUDA0, CUDA1"

       Further command line options use  "CUDA" either with or without one of the integer values 0 or 1  as  the
       prefix stringin attribute names.

Options

       -help

          Print usage information and exit.

       -properties

          In  addition to the  DetectedGPUs attribute, display standard CUDA attributes. Each of these attribute
          names will have a prefix stringat the beginning of its name. For a host with more than one of the same
          GPU type, those attribute values that are the same across all of the GPUs will  not  have  an  integer
          value  in  the  prefix  string.  The  attributes  are   Capability  ,   DeviceName  ,  DriverVersion ,
          ECCEnabled ,  GlobalMemoryMb , and  RuntimeVersion . The displayed standard  Open  CL  attributes  are
          DeviceName ,  ECCEnabled ,  OpenCLVersion , and  GlobalMemoryMb .

       -extra

          Display  the  additional  attributes  of Each of these attribute names will have a prefix stringat the
          beginning of its name.  ClockMhz ,  ComputeUnits , and  CoresPerCU for a CUDA  device,  and   ClockMhz
          and  ComputeUnits for an OCL device.

       -dynamic

          Display attributes of NVIDIA devices that change values as the GPU is working. Each of these attribute
          names  will  have  a prefix stringat the beginning of its name. These are  FanSpeedPct ,  BoardTempC ,
          DieTempC ,  EccErrorsSingleBit , and  EccErrorsDoubleBit .

       -mixed

          When displaying attribute values, assume that the machine has a heterogeneous set of GPUs,  so  always
          include the integer value in the prefix string.

       -device <N>

          Display  properties  only  for  GPU  device  <N>, where <N>is the integer value defined for the prefix
          string. Note that the attribute names in this output will notcontain the value for <N>.

       -tag string

          Set the resource tag portion of the intended machine ClassAd attribute   Detected<ResourceTag>  to  be
          string.  If  this  option  is not specified, the resource tag is  "GPUs" , resulting in attribute name
          DetectedGPUs .

       -prefix str

          When naming attributes, use stras the prefix string. When this option is  not  specified,  the  prefix
          stringis either  CUDA or  OCL .

       -simulate:D,N

          For testing purposes, assume that N devices of type D were detected. No discovery software is invoked.
          If  D  is  0,  it  refers  to  GeForce GT 330, and a default value for N is 1. If D is 1, it refers to
          GeForce GTX 480, and a default value for N is 2.

       -opencl

          Prefer detection via OpenCL rather than CUDA. Without this option, CUDA detection software is  invoked
          first, and no further Open CL software is invoked if CUDA devices are detected.

       -cuda

          Do only CUDA detection.

       -nvcuda

          For Windows platforms only, use a CUDA driver rather than the CUDA run time.

       -config

          Output  in  the syntax of HTCondor configuration, instead of ClassAd language. An additional attribute
          is produced  NUM_DETECTED_GPUs which is set to the number of GPUs detected.

       -verbose

          For interactive use of the tool, output extra information to show detection while in progress.

       -diagnostic

          Show diagnostic information, to aid in tool development.

Exit Status

       condor_gpu_discoverywill exit with a status value of 0 (zero) upon success, and it  will  exit  with  the
       value 1 (one) upon failure.

Author

       Center for High Throughput Computing, University of Wisconsin-Madison

Copyright

       Copyright (C) 1990-2015 Center for High Throughput Computing, Computer Sciences Department, University of
       Wisconsin-Madison, Madison, WI. All Rights Reserved. Licensed under the Apache License, Version 2.0.

                                                  February 2016                          condor_gpu_discovery(1)