Nsight-Compute-CLI-Sapelo2: Difference between revisions
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Also refer to [[Running Jobs on Sapelo2]] | Also refer to [[Running Jobs on Sapelo2]] | ||
Compute nodes equipped with GPU cards have access to all applications installed in /apps. | |||
* Version 2025.4.0.0 is installed with CUDA v. 13.1.0 in /apps/eb/CUDA/13.1.0 | * Version 2025.4.0.0 is installed with CUDA v. 13.1.0 in /apps/eb/CUDA/13.1.0 | ||
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Please note: | '''Please note:''' | ||
1. Before running ncu to profile an application, please set the environment variable TMPDIR to point to a directory of yours. For example, use | '''1.''' Before running ncu to profile an application, please set the environment variable TMPDIR to point to a directory of yours. For example, use | ||
<pre class="gcommand"> | <pre class="gcommand"> | ||
export TMPDIR=/scratch/$USER | export TMPDIR=/scratch/$USER | ||
</pre> | </pre> | ||
2. To profile applications on the H100 devices, please use the ncu in CUDA version 12.6.0 or higher. The older versions of ncu do not support the Hopper architecture. | '''2.''' To profile applications on the H100 devices, please use the ncu in CUDA version 12.6.0 or higher. The older versions of ncu do not support the Hopper architecture. | ||
3. Currently the ncu command only works on the following nodes: | '''3.''' Currently the ncu command only works on the following nodes: | ||
<pre class="gcomment"> | |||
A100: ra4-2 | A100: ra4-2 | ||
H100: ra8-3, ra7-2, ra8-4 | H100: ra8-3, ra7-2, ra8-4 | ||
</pre> | |||
More nodes will be added to the list above, as ncu is enabled on them (it requires a node reboot). Please check back, if of interest. | More nodes will be added to the list above, as ncu is enabled on them (it requires a node reboot). Please check back, if of interest. | ||
Latest revision as of 13:49, 3 February 2026
Category
Other
Program On
Sapelo2
Version
2023.1.1.0, 2024.1.0.0, 2024.3.0.0, 2025.1.0.0, 2025.4.0.0
Author / Distributor
NVIDIA
Description
From https://docs.nvidia.com/nsight-compute/NsightComputeCli/index.html: "NVIDIA Nsight Compute CLI (ncu) provides a non-interactive way to profile applications from the command line. "
Running Program
Also refer to Running Jobs on Sapelo2
Compute nodes equipped with GPU cards have access to all applications installed in /apps.
- Version 2025.4.0.0 is installed with CUDA v. 13.1.0 in /apps/eb/CUDA/13.1.0
To use it, please first load the module with:
module load CUDA/13.1.0
- Version 2025.1.0.0 is installed with CUDA v. 12.8.0 in /apps/eb/CUDA/12.8.0
To use it, please first load the module with:
module load CUDA/12.8.0
- Version 2024.3.0.0 is installed with CUDA v. 12.6.0 in /apps/eb/CUDA/12.6.0
To use it, please first load the module with:
module load CUDA/12.6.0
- Version 2024.1.0.0 is installed with CUDA v. 12.4.0 in /apps/eb/CUDA/12.4.0
To use it, please first load the module with:
module load CUDA/12.4.0
- Version 2023.1.1.0 is installed with CUDA v. 12.1.1 in /apps/eb/CUDA/12.1.1
To use it, please first load the module with:
module load CUDA/12.1.1
Please note:
1. Before running ncu to profile an application, please set the environment variable TMPDIR to point to a directory of yours. For example, use
export TMPDIR=/scratch/$USER
2. To profile applications on the H100 devices, please use the ncu in CUDA version 12.6.0 or higher. The older versions of ncu do not support the Hopper architecture.
3. Currently the ncu command only works on the following nodes:
A100: ra4-2 H100: ra8-3, ra7-2, ra8-4
More nodes will be added to the list above, as ncu is enabled on them (it requires a node reboot). Please check back, if of interest.
You can request a specific node with the Slurm --nodelist option. For example, --nodelist=ra8-3 .
Sample command to request an interactive job on a specific node:
interact -p gpu_p --gres=gpu:H100:1 --nodelist=ra8-3
Sample Slurm header line to request a specific node for a batch job:
#SBATCH --nodelist=ra8-3
Documentation
Please see https://docs.nvidia.com/nsight-compute/NsightComputeCli/index.html
Installation
Downloaded from NVIDIA site.
System
64-bit Linux