Provided by: condor_23.9.6+dfsg-2.1_amd64 
NAME
condor_gpu_discovery - HTCondor Manual
Output GPU-related ClassAd attributes
SYNOPSIS
condor_gpu_discovery -help
condor_gpu_discovery [<options> ]
DESCRIPTION
condor_gpu_discovery outputs ClassAd attributes corresponding to a host's GPU capabilities. It can
presently report CUDA and OpenCL devices; which type(s) of device(s) it reports is determined by which
libraries, if any, it can find when it runs; this reflects what GPU jobs will find on that host when they
run. (Note that some HTCondor configuration settings may cause the environment to differ between jobs and
the HTCondor daemons in ways that change library discovery.)
If CUDA_VISIBLE_DEVICES or GPU_DEVICE_ORDINAL is set in the environment when condor_gpu_discovery is run,
it will report only devices present in the those lists.
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 string
in other attribute names. Where there is more than one GPU of a particular type, the prefix string
includes an GPU id value identifying the device; these can be integer values that monotonically increase
from 0 when the -by-index option is used or globally unique identifiers when the -short-uuid or -uuid
argument is used.
For example, a discovery of two GPUs with -by-index 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
name of the device properties ad for -nested properties, or as the prefix string in attribute names when
-not-nested properties are chosen.
For machines with more than one or two NVIDIA devices, it is recommended that you also use the
-short-uuid or -uuid option. The uuid value assigned by NVIDA to each GPU is unique, so using this
option provides stable device identifiers for your devices. The -short-uuid option uses only part of the
uuid, but it is highly likely to still be unique for devices on a single machine. As of HTCondor 9.0
-short-uuid is the default. When -short-uuid is used, discovery of two GPUs may look like this
DetectedGPUs="GPU-ddc1c098, GPU-9dc7c6d6"
Any NVIDIA runtime library later than 9.0 will accept the above identifiers in the CUDA_VISIBLE_DEVICES
environment variable.
If the NVML libary is available, and a multi-instance GPU (MIG) -capable device is present, has MIG
enabled, and has created compute instances for each MIG instance, condor_gpu_discovery will report those
instance as distinct devices. Their names will be in the long UUID form unless the -short-uuid option is
used, because they can not be enumerated via CUDA. MIG instances don't have some of the properties
reported by the -properties, -extra, and -dynamic options; these properties will be omitted. If MIG is
enabled on any GPU in the system, some properties become unavailable for every GPU in the system;
condor_gpu_discovery will report what it can.
OPTIONS
-help Print usage information and exit.
-properties
In addition to the DetectedGPUs attribute, display some of the attributes of the GPUs. Each of
these attributes will be in a nested ClassAd (-nested) or have a prefix string at the beginning
of its name (-not-nested). The displayed CUDA attributes are Capability, DeviceName,
DriverVersion, ECCEnabled, GlobalMemoryMb, and RuntimeVersion. The displayed Open CL attributes
are DeviceName, ECCEnabled, OpenCLVersion, and GlobalMemoryMb.
-nested
Default. Display properties that are common to all GPUs in a Common nested ClassAd,
and properties that are not common to all in a nested ClassAd using the GPUid as the
ClassAd name. Use the -not-nested argument to disable nested ClassAds and return to the
older behavior of using a prefix string for individual property attributes.
-not-nested
Display properties that are common to all GPUs using a CUDA or OCL as
the attribute prefix, and properties that are not common to all using a GPUid prefix.
Versions of condor_gpu_discovery prior to 9.11.0 support only this mode.
-extra Display more attributes of the GPUs. Each of these attributes will be added to a nested
property ClassAd (-nested) or have a prefix string at the beginning of its name (-not-nested).
The additional CUDA attributes are ClockMhz, ComputeUnits, and CoresPerCU. The additional Open
CL attributes are ClockMhz and ComputeUnits.
-dynamic
Display attributes of NVIDIA devices that change values as the GPU is working. Each of these
attributes will be added to the the nested property ClassAd (-nested) or have a prefix string
at the beginning of its name (-not-nested). 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. This option may be specified more than once; additional <N> are listed along
with the first. This option adds to the devices(s) specified by the environment variables
CUDA_VISIBLE_DEVICES and GPU_DEVICE_ORDINAL, if any.
-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 -not-nested attributes, use str as the prefix string. When this option is not
specified, the prefix string is either CUDA or OCL unless -uuid or -short-uuid is also used.
-by-index
Use the prefix and device index as the device identifier.
-short-uuid
Use the first 8 characters of the NVIDIA uuid as the device identifier. When this option is
used, devices will be shown as GPU-<xxxxxxxx> where <xxxxxxxx> is the first 8 hex digits of the
NVIDIA device uuid. Unlike device indices, the uuid of a device will not change of other
devices are taken offline or drained.
-uuid Use the full NVIDIA uuid as the device identifier rather than the device index.
-simulate:[D,N[,D2,...]]
For testing purposes, assume that N devices of type D were detected, And N2 devices of type D2,
etc. No discovery software is invoked. D can be a value from 0 to 6 which selects a simulated
a GPU from the following table.
SIMULATED GPUS
┌───┬────────────────────────┬────────────┬────────────────┐
│ │ DeviceName │ Capability │ GlobalMemoryMB │
├───┼────────────────────────┼────────────┼────────────────┤
│ 0 │ GeForce GT 330 │ 1.2 │ 1024 │
├───┼────────────────────────┼────────────┼────────────────┤
│ 1 │ GeForce GTX 480 │ 2.0 │ 1536 │
├───┼────────────────────────┼────────────┼────────────────┤
│ 2 │ Tesla V100-PCIE-16GB │ 7.0 │ 24220 │
├───┼────────────────────────┼────────────┼────────────────┤
│ 3 │ TITAN RTX │ 7.5 │ 24220 │
├───┼────────────────────────┼────────────┼────────────────┤
│ 4 │ A100-SXM4-40GB │ 8.0 │ 40536 │
├───┼────────────────────────┼────────────┼────────────────┤
│ 5 │ NVIDIA A100-SXM4-40GB │ 8.0 │ 20096 │
│ │ MIG 3g.20gb │ │ │
├───┼────────────────────────┼────────────┼────────────────┤
│ 6 │ NVIDIA A100-SXM4-40GB │ 8.0 │ 4864 │
│ │ MIG 1g.5gb │ │ │
└───┴────────────────────────┴────────────┴────────────────┘
-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.
-repeat [N]
Repeat listed GPUs N (default 2) times. This results in a list that looks like CUDA0, CUDA1,
CUDA0, CUDA1.
If used with -divide, the last one on the command-line wins, but you must specify 2 if you want
it; the default value only applies to the first flag.
-divide [N]
Like -repeat, except also divide the attribute GlobalMemoryMb by N. This may help you avoid
overcommitting your GPU's memory.
If used with -repeat, the last one on the command-line wins, but you must specify 2 if you want
it; the default value only applies to the first flag.
-packed
When repeating GPUs, repeat each GPU N times, not the whole list. This results in a list that
looks like CUDA0, CUDA0, CUDA1, CUDA1.
-cron This option suppresses the DetectedGpus attribute so that the output is suitable for use with
condor_startd cron. Combine this option with the -dynamic option to periodically refresh the
dynamic Gpu information such as temperature. For example, to refresh GPU temperatures every 5
minutes
use FEATURE : StartdCronPeriodic(DYNGPUS, 5*60, $(LIBEXEC)/condor_gpu_discovery, -dynamic -cron)
-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_discovery will exit with a status value of 0 (zero) upon success, and it will exit with the
value 1 (one) upon failure.
AUTHOR
HTCondor Team
COPYRIGHT
1990-2024, Center for High Throughput Computing, Computer Sciences Department, University of Wisconsin-
Madison, Madison, WI, US. Licensed under the Apache License, Version 2.0.
Jun 20, 2025 CONDOR_GPU_DISCOVERY(1)