condor_gpu_discovery (1) - Linux Manuals

Name

condor_gpu_discovery Output GPU-related ClassAd attributes

Synopsis

condor_gpu_discovery -help

condor_gpu_discovery [ <options> ]

Description

condor_gpu_discovery runs 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 string in other attribute names. Where there is more than one GPU of a particular type, the prefix string includes 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 string in 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 string at 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 string at 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 string at 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 not contain 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 str as the prefix string . When this option is not specified, the prefix string is 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_discovery will 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.