Monitoring NVIDIA GPU Usage: nvidia-smi for Specific Processes скачать в хорошем качестве

Monitoring NVIDIA GPU Usage: nvidia-smi for Specific Processes

Learn how to monitor your NVIDIA GPU usage using `nvidia-smi` while a specified process is running. Follow our step-by-step guide for a clean and efficient solution! --- This video is based on the question https://stackoverflow.com/q/73908073/ asked by the user 'whoisit' ( https://stackoverflow.com/u/19888142/ ) and on the answer https://stackoverflow.com/a/73908209/ provided by the user 'tripleee' ( https://stackoverflow.com/u/874188/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: nvidia-smi monitor only while a specific process is running Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Monitoring NVIDIA GPU Usage with nvidia-smi In the world of computing, especially in fields like data analysis, machine learning, and gaming, monitoring GPU usage is essential. One useful tool is nvidia-smi, a command line utility that reports GPU usage on systems running NVIDIA graphics cards. However, what if you want to monitor the GPU only while a specific process is running? Let's dive into this scenario and explore an efficient solution. The Challenge Imagine you’re running a process that heavily relies on your GPU, but you only want to run nvidia-smi monitoring while that process is actively using the GPU. This scenario not only helps in conserving resources but also keeps your logging clean. The goal is to ensure you don’t leave orphaned processes when your bash script exits. What You Need To achieve this, you’ll leverage the following: nvidia-smi: to get GPU monitoring information. Bash Scripting: to run commands and manage processes. The Solution The solution involves running both the nvidia-smi command and the target process in parallel while ensuring that nvidia-smi stops when the process completes. Here’s a step-by-step breakdown of the implementation: Step 1: Run nvidia-smi in the Background You start by launching nvidia-smi to log GPU stats in real-time. By using the -lms flag, you can specify the log interval in milliseconds. [[See Video to Reveal this Text or Code Snippet]] > logfile.txt: redirects the output to a logfile for later analysis. &: runs the command in the background. nvpid=$!: captures the process ID (PID) of nvidia-smi. Step 2: Start Your Target Process Next, you’ll execute the process you want to monitor. This process will also run in the background. [[See Video to Reveal this Text or Code Snippet]] time ./process1: runs your specified process (replace process1 with the actual process name). > timelog.txt: captures the timing log for the process. prpid=$!: stores the PID of the process. Step 3: Wait for the Process Completion You will need to wait for the process1 to complete, ensuring that nvidia-smi keeps running until it finishes. [[See Video to Reveal this Text or Code Snippet]] The wait command allows the script to pause until the specified process terminates. This ensures your monitoring continues through the lifecycle of the process. Step 4: Clean Up Lastly, once the monitored process completes, it's time to stop the nvidia-smi command gracefully. [[See Video to Reveal this Text or Code Snippet]] The kill command will terminate the background nvidia-smi process using the stored PID. Putting It All Together Here’s how the complete script will look: [[See Video to Reveal this Text or Code Snippet]] Conclusion Using this method, you can effectively monitor your NVIDIA GPU usage with nvidia-smi efficiently while a specific process runs, without worrying about leaving behind any orphan processes. This approach not only enhances your logging accuracy but also streamlines the resource management of your GPU. Whether you’re a developer, data scientist, or gamer, having insight into your GPU activity is vital for optimizing performance. Try it out and enhance your monitoring capabilities today!