How to use NVIDIA Nsight: Difference between revisions
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|title=How to use NVIDIA Nsight | |||
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|description={{{description|This wiki page from RidgeRun is about OpenCV CUDA Streams example, profiling with NVIDIA Nsight and understanding CUDA Streams pipelining}}} | |||
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{{NVIDIA Pref Partner logo and RR Contact}} | {{NVIDIA Pref Partner logo and RR Contact}} | ||
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'''2. <u>Add executions permission</u>''' | '''2. <u>Add executions permission</u>''' | ||
< | <syntaxhighlight lang="bash"> | ||
cd ~/Downloads | cd ~/Downloads | ||
chmod +x NVIDIA_Nsight_Graphics_2020.3.0.20148.run | chmod +x NVIDIA_Nsight_Graphics_2020.3.0.20148.run | ||
</ | </syntaxhighlight> | ||
'''3. <u>Start the installation</u>''' | '''3. <u>Start the installation</u>''' | ||
Follow the instructions and settings with the command-line install wizard | Follow the instructions and settings with the command-line install wizard | ||
< | <syntaxhighlight lang="bash"> | ||
./NVIDIA_Nsight_Graphics_2020.3.0.20148.run | ./NVIDIA_Nsight_Graphics_2020.3.0.20148.run | ||
</ | </syntaxhighlight> | ||
== Execution == | == Execution == | ||
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It can also be executed from command line with: | It can also be executed from command line with: | ||
< | <syntaxhighlight lang="bash"> | ||
nsight-sys | nsight-sys | ||
</ | </syntaxhighlight> | ||
== Usage == | == Usage == | ||
'''1. <u>Create a new project</u>''' | '''1. <u>Create a new project</u>''' | ||
< | <syntaxhighlight lang="bash"> | ||
File -> New Project | File -> New Project | ||
</ | </syntaxhighlight> | ||
'''2. <u>Select a target for profiling</u>''' | '''2. <u>Select a target for profiling</u>''' | ||
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* [[How_to_use_OpenCV_CUDA_Streams | How to use OpenCV CUDA Streams and Analyze Result with NVIDIA Nsight]] | * [[How_to_use_OpenCV_CUDA_Streams | How to use OpenCV CUDA Streams and Analyze Result with NVIDIA Nsight]] | ||
==Contact Us== | |||
{{ContactUs}} | {{ContactUs}} | ||
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Latest revision as of 19:42, 6 December 2024
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Introduction to NVIDIA Nsight
NVIDIA Developer Tools are a collection of applications, spanning desktop and mobile targets, which enable developers to build, debug, profile, and develop class-leading and cutting-edge software that utilizes the latest visual computing hardware from NVIDIA. The package includes Nsight Systems, Nsight compute, and Nsight Graphics.
Installation
1. Download the required installation file
Go to the NVIDIA Developer Center - Developer Tools and download the .run package.
Select the .run package in the Nsight Systems tab for Linux installation. (It is also available for MacOS and Windows).

2. Add executions permission
cd ~/Downloads
chmod +x NVIDIA_Nsight_Graphics_2020.3.0.20148.run
3. Start the installation
Follow the instructions and settings with the command-line install wizard
./NVIDIA_Nsight_Graphics_2020.3.0.20148.run
Execution
Search in the program list the Nsight Systems link:

It can also be executed from command line with:
nsight-sys
Usage
1. Create a new project
File -> New Project
2. Select a target for profiling

3. Select data to be collected
In the following example, CUDA trace and information options are selected, but any other option such as OpenGL or MPI can be selected as well.

4. Specify program options
Insert the binary program name and the path to it:

5. Start the profiling
Click the Start button to start the profiling.
Considerations:
- The profiling process does not exit automatically and should be manually stopped.
- To avoid errors in the report the program that is being profiled should not end abruptly.
- It is preferred to measure a portion of execution time.
- The process can be stopped even if the program that is being profiled has not ended, and Nsight will generate valid results.
Report Analysis
You can refer to the following example to analyze the result in a sample application:
Contact Us
For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.