HTCondorWiki: How To Manage Gpus

 
 The output of the _condor_gpu_discovery_ tool will report =DetectedGPUs= and list the GPU id of each one.  GPU ids will be CUDA<n> or OCL<n>, where <n> is an integer, and CUDA or OCL indicates whether the CUDA library or the OpenCL library is used to communicate with the device.
 
-The =-properties= argument in the command above tells _condor_gpu_discovery_ to also list significant attributes of the device(s). These attributes will then be published in the slot ClassAds.
+The =-properties= argument in the _condor_gpu_discovery_ command tells it to also list significant attributes of the device(s). These attributes will then be published in each slot ClassAd.
 
 Here is typical output of _condor_gpu_discovery_
 {code}
@@ -43,9 +43,9 @@
 CUDARuntimeVersion=5.0
 {endcode}
 
-This output indicates that 4 GPUs were detected, all of which have the same properties. If you are using a static slot configuration, and you wish to
-control how many GPUs are assigned to each slot, use the =SLOT_TYPE_<n>= configuration syntax to specify =Gpus=, the same as you would for =Cpus= or =Memory=. If you don't specify, slots default to =GPUS=auto= which will assign
-GPUs proportionally to slots until there are no more GPUs to assign, then it will simply assign 0 GPUs to the remaining slots. So a machine with =NUM_CPUS=8= and =DetectedGPUs="CUDA0, CUDA1, CUDA2, CUDA3"= will assign 1 GPUs each to the first 4 slots, and no GPUs to the remaining slots. Slots with GPUs assigned with include the following attributes.
+This output indicates that 4 GPUs were detected, all of which have the same properties. If using a static slot configuration, to
+control how many GPUs are assigned to each slot, use the =SLOT_TYPE_<n>= configuration syntax to specify =Gpus=, the same as would be done for =Cpus= or =Memory=. If not specified, slots default to =GPUS=auto=, which will assign
+GPUs proportionally to slots until there are no more GPUs to assign, and then it will assign 0 GPUs to the remaining slots. So a machine with =NUM_CPUS=8= and =DetectedGPUs="CUDA0, CUDA1, CUDA2, CUDA3"= will assign 1 GPUs each to the first 4 slots, and no GPUs to the remaining slots. Slot ClassAds with GPUs assigned will include the following attributes:
 
 {code}
 Cpus=1
@@ -63,18 +63,18 @@
 {endcode}
 
 
-If you are using a Partitionable slot, the by default the Partitionable slot will be assigned both GPUs.  Dynamic slots created from this partitionable slot will be assigned GPUs when the job requests them.
+With Partitionable slots, the default partitionable slot will be assigned both GPUs.  Dynamic slots created from this partitionable slot will be assigned GPUs when the job requests them.
 
 
 {section: Job requests a GPU}
 
-User jobs that require a GPU must specify this requirement.  In a job's submit description file, it might do something as simple as
+User jobs that require a GPU must specify this requirement.  In a job's submit description file, the  simple request is
 
 {code}
 Request_GPUs = 1
 {endcode}
 
-or as complex as
+A more complex request, such as:
 
 {code}
 Request_GPUs = 2
@@ -83,7 +83,7 @@
     && (CUDAGlobalMemoryMb >= 1500)
 {endcode}
 
-specifying that the job requires a CUDA GPU with at least 1500 Mb of memory, the CUDA runtime version 5.5 or later, and a CUDA Capability of 3.0 or greater.
+specifies that the job requires a CUDA GPU with at least 1500 Mb of memory, the CUDA runtime version 5.5 or later, and a CUDA Capability of 3.0 or greater.
 
 {section: Identify the GPU}