Difference between revisions of "Nvidia CUDA Toolkit"
| Line 71: | Line 71: | ||
===Batch Jobs=== | ===Batch Jobs=== | ||
| − | The process is much the same for batch jobs. To access a node with an | + | The process is much the same for batch jobs. To access a node with an M2090, you can add the following to your submission script. |
<pre> | <pre> | ||
#PBS -q gpu | #PBS -q gpu | ||
| − | #PBS -l nodes=1:gpus=1: | + | #PBS -l nodes=1:gpus=1:M2090 |
#PBS -l walltime=1:00:00 | #PBS -l walltime=1:00:00 | ||
</pre> | </pre> | ||
| Line 83: | Line 83: | ||
<pre> | <pre> | ||
#PBS -q gpu | #PBS -q gpu | ||
| − | #PBS -l nodes=1:gpus=1: | + | #PBS -l nodes=1:gpus=1:m2070 |
#PBS -l walltime=1:00:00 | #PBS -l walltime=1:00:00 | ||
</pre> | </pre> | ||
Revision as of 20:14, 20 September 2013
Description
cuda website
CUDA™ is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). With millions of CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing with CUDA.
Required Modules
cuda
System Variables
- HPC_{{#uppercase:cuda}}_DIR
- HPC_{{#uppercase:cuda}}_BIN
- HPC_{{#uppercase:cuda}}_INC
- HPC_{{#uppercase:cuda}}_LIB
Additional Information
Also see NVIDIA GPUs.
PBS Script Examples
See the Nvidia CUDA Toolkit_PBS page for cuda PBS script examples.
Usage Policy
Interactive Use
If you need interactive access to a gpu for development and testing you may do so by requesting an interactive session through the batch system.
In order to gain interactive access to a GPU server you should run similar to the one that follows.
qsub -I -l nodes=1:gpus=1:tesla,walltime=01:00:00 -q gpu
To gain access to one of the Fermi-class GPUs, you can make a similar request but specify the "fermi" attribute in your resource request as below.
qsub -I -l nodes=1:gpus=1:fermi,walltime=01:00:00 -q gpu
If a gpu is available, you will get a prompt on one of the nodes within a minute or two. Otherwise, you will have to wait or try another time. If you choose to wait, you will be connected when a gpu is available. The default walltime limit for the gpu queue is 10 minutes. You should request the amount of time you need but be sure to log out and end your session when you are finished so that the GPU will be available to others.
If your work needs both GPUs attached to the same node, you would run the following command instead.
qsub -I -l nodes=1:gpus=2,walltime=01:00:00 -q gpu
If you need to request a particular machine, say tesla1, you would use the following qsub command.
qsub -I -l nodes=tesla1:gpus=1,walltime=01:00:00 -q gpu
Batch Jobs
The process is much the same for batch jobs. To access a node with an M2090, you can add the following to your submission script.
#PBS -q gpu #PBS -l nodes=1:gpus=1:M2090 #PBS -l walltime=1:00:00
To access a node with an M2070 GPU, you can add the following to your submission script.
#PBS -q gpu #PBS -l nodes=1:gpus=1:m2070 #PBS -l walltime=1:00:00