condor_gpu_discovery Output - GPU-related ClassAd attributes
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
Further command line options use "CUDA" either with or without one of
the integer values 0 or 1 as the prefix stringin attribute names.
- Print usage information and exit.
- 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 .
- 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.
- 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 .
- When displaying attribute values, assume that the machine
has a heterogeneous set of GPUs, so always include the integer value in
the prefix string.
- 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
- 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 .
- When naming attributes, use stras the prefix string. When
this option is not specified, the prefix stringis either CUDA or OCL
- 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.
- 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.
- Do only CUDA detection.
- For Windows platforms only, use a CUDA driver rather than
the CUDA run time.
- 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.
- For interactive use of the tool, output extra information
to show detection while in progress.
- Show diagnostic information, to aid in tool
condor_gpu_discoverywill exit with a status value of 0 (zero) upon success, and
it will exit with the value 1 (one) upon failure.
Center for High Throughput Computing, University of Wisconsin-Madison
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.