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NVIDIA Developer
developer.nvidia.com › nvidia-visual-profiler
NVIDIA Visual Profiler | NVIDIA Developer
The NVIDIA Visual Profiler is a cross-platform performance profiling tool that delivers developers vital feedback for optimizing CUDA C/C++ applications. First introduced in 2008, Visual Profiler supports all 350 million+ CUDA capable NVIDIA ...
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CUDA GPU Compute Capability
Compute capability defines the hardware features and supported instructions for each NVIDIA GPU architecture.
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CUDA Toolkit 13.3 Update 1 Downloads
Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support.
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NVIDIA
docs.nvidia.com › cuda › profiler-users-guide › index.html
1. Preparing An Application For Profiling — Profiler 12.9 documentation
May 31, 2025 - To dock a view, left click the view tab (not the window decoration) and drag it into the profiler window. Use the X icon on a view tab to close a view. To open a view, use the View menu. When the Visual Profiler is started from the command line, it is possible, using command line arguments, to specify executable to start new session with or import profile files exported from nvprof using one of the following patterns:
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NVIDIA Developer Forums
forums.developer.nvidia.com › developer tools › other tools › visual profiler and nvprof
NVIDIA Visual Profiler on Windows - Visual Profiler and nvprof - NVIDIA Developer Forums
February 18, 2021 - I have write a monte carlo implementation on Microsoft Visual Studio Community 2019 with cuda_11.2.0_460.89_win10, on windows 10 20H2 (19042.804). The program build and run without problem. Additional i got all my data in csv file. I’m trying to run visual profiler.
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ScienceDirect
sciencedirect.com › topics › computer-science › visual-profiler
Visual Profiler - an overview | ScienceDirect Topics
The NVIDIA Visual Profiler is a graphical user interface (GUI)-based tool designed for visualizing the execution timeline of CUDA (Compute Unified Device Architecture) programs, providing a wide range of analyses to guide development and optimization efforts in GPU (Graphics Processing Unit) ...
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NVIDIA Developer
developer.nvidia.com › nvidia-visual-profiler.md
NVIDIA Visual Profiler
The NVIDIA Visual Profiler is a cross-platform performance profiling tool that delivers developers vital feedback for optimizing CUDA C/C++ applications. First introduced in 2008, Visual Profiler supports all 350 million+ CUDA capable NVIDIA GPUs shipped since 2006 on Linux, Windows, and ARM.
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NVIDIA
developer.download.nvidia.com › compute › DevZone › docs › html › C › doc › Compute_Visual_Profiler_User_Guide.pdf pdf
DU-05162-001_v04 | May 2011 User Guide COMPUTE VISUAL PROFILER
Compute Visual Profiler”. ... Added Kernel Analysis feature. ... Profiler”. ... Getting Started ................................................................................... 1 · Installation and Setup ........................................................................ 2 · Windows ...
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NVIDIA Developer
developer.nvidia.com › performance-analysis-tools
Nsight Developer Tools | NVIDIA Developer
Nsight Graphics is a standalone application for the debugging, profiling, and analysis of graphics applications on Microsoft Windows and Linux. It allows you to optimize the performance of applications based on Direct3D 11, Direct3D 12, DirectX ...
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O'Reilly
oreilly.com › library › view › hands-on-gpu-accelerated-computer › 9781789348293 › eb26a42f-7962-48c9-b112-3caca6586333.xhtml
The Nvidia Visual Profiler - Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA [Book]
This tool is called the Nvidia Visual Profiler. In the standard CUDA 9.0 installation on Windows 10, it can be found on the following path: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\libnvvp.
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YouTube
youtube.com › cuda education
nVidia Visual Profiler | Very basic walkthrough | CUDA Programming CUDA Education - YouTube
A very basic walkthrough of the nVidia Visual Profiler. Visit cudaeducation.com to learn how to run CUDA on your Windows-based machine. Donate to the cause...
Published   March 24, 2018
Views   3K
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NVIDIA
docs.nvidia.com › cuda › pdf › CUDA_Profiler_Users_Guide.pdf pdf
Profiler Release 12.9 NVIDIA Corporation May 31, 2025
This section describes steps you might take as you begin profiling. ... Visual Profiler requires Java Runtime Environment (JRE) 1.8 to be available on the local system.
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NVIDIA
developer.download.nvidia.com › compute › cuda › 2_1 › cudaprof › cudaprof.html
NVIDIA CUDA Visual Profiler Version 1.1
Launch: Select the CUDA program to be profiled. Working directory: Select the working directory to be used for running the CUDA program. Arguments: Command line arguments to be passed to the CUDA program. Max. execution time (in seconds): Select maximum time to wait for CUDA program execution completion. After this cutoff time the program is aborted. Runin separate window: This option is useful for console applications which accept some keyboard input.
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GitHub
gist.github.com › sonots › 5abc0bccec2010ac69ff74788b265086
How to use NVIDIA profiler - Gist - GitHub
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NVIDIA Developer Forums
forums.developer.nvidia.com › developer tools › other tools › visual profiler and nvprof
Visual Profiler - Visual Profiler and nvprof - NVIDIA Developer Forums
May 1, 2025 - Hi, I am using an orin nano with the latest cuda (10.8) and I am trying to use nvidia visual profiler on Windows 11. When I attempt to remote login, the nano auth log shows: Unable to negotiate with 192.168.x.x port …
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NVIDIA Developer Forums
forums.developer.nvidia.com › developer tools › other tools › visual profiler and nvprof
Visual Profiler (CUDA 11.5, Windows 11) don't start - Visual Profiler and nvprof - NVIDIA Developer Forums
January 12, 2022 - Hello, I have windows 11 and CUDA V11.5. If I try to start Visual Profiler I got a java error. Java is Version 8 Update 311. Whats go wrong? Best regards egonotto
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Mit-satori
mit-satori.github.io › tutorial-examples › nvprof-profiling › index.html
Profiling code with nvprof — MIT Satori User Documentation documentation
The resulting profile can be examined visually on a laptop/desktop with the NVIDIA Visual Profiler installed ( see - https://developer.nvidia.com/nvidia-visual-profiler ).
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StudyRaid
app.studyraid.com › en › read › 11728 › 371473 › installing-nvidia-visual-profiler-and-nvprof
Understand installing NVIDIA Visual Profiler and nvprof
January 13, 2025 - The NVIDIA Visual Profiler (nvvp) and nvprof command-line profiler are essential tools for analyzing CUDA application performance. These tools provide detailed insights into kernel execution, memory transfers, and hardware utilization metrics.
Top answer
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Nsight Visual Studio Edition 2.2 offers the following advantages over the Visual Profiler:

OVERALL

  1. Integration into Visual Studio 2008 SP1 and 2010 (requires Professional Edition as VS Express Edition does not support integration packages).

  2. Local and remote analysis sessions. Remote sessions can also be configured to copy the application and resources to the remote system.

  3. Collect information from a target application or from a process tree.

  4. Report views support more advanced grouping and filtering. Data tables can be exported to excel.

TRACE ACTIVITY

  1. Trace OS activity including process, thread, and module lifetime, thread context switching, thread wait reasons, CPU utilization, process CPU utilization, and thread utilization.

  2. Collect API and GPU work trace for CUDA, OpenGL 2.x-3.x, DirectX 9-11, and OpenCL 1.1 and show all information on the timeline.

  3. Collection of call stack traces on all traced API calls or only when traced API calls return errors.

  4. CUDA software counters to show allocated memory per context.

  5. Additional control over what information is traced. This is critical as tracing too much information can cause the application to become CPU bound.

  6. Timeline and tree display for user annotations from NVIDIA Tools Extensions Library and D3D Performance Markers.

CUDA PROFILING ACTIVITY

  1. The CUDA profiler provides a method to capture your kernel and replay it many times transparent to your application. This allows collection of profiling data in non-deterministic applications and with only 1 launch of your applications. The Visual Profiler <= 5 requires the application to be deterministic so that it can relaunch the application many times.

  2. Supports collection of many useful metrics not yet support by the Visual Profiler including warps eligible which is the most critical metric for understanding if you have sufficient occupancy and warp stall reasons to help you understand what is limiting the performance of the application.

The Visual Profiler has the following advantages:

  1. Cross platform.

  2. Provides expert system to review the collected information.

  3. Links in the results to the CUDA Best Practices Guide.

  4. Timeline can show correlation between CPU and GPU events when you click on an event.

  5. CUDA 5.0 supports new command line profiler (nvprof).

  6. CUDA 5.0 supports source correlation for branch divergence and memory access with bad access patterns.

  7. CUDA 5.0 profiler is integrated into Nsight Eclipse Edition.

  8. Better support for Tesla PM counters.

Visual Profiler in CUDA 5.0 adds a number of the features available in Nsight 1.5 and 2.x including

  • NVIDIA Tools Extension Library for annotating your application with ranges and markers that can be displayed in the timeline.

  • Concurrent kernel trace on Fermi and Kepler GPUs.

Both tools will provide your very helpful information for analyzing your application. I recommend that you use the latest version of each of the tools.

The upcoming version of Nsight VSE will have many new features for investigating the execution of your CUDA kernel. For more information see http://developer.download.nvidia.com/GTC/PDF/GTC2012/PresentationPDF/S0430-GTC2012-Developing-CUDA-Nsight.pdf.

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EDIT (change of mind): Based on reevaluating both NVIDIA Parallel Nsight and Visual Profiler, I now find NVIDIA Parallel Nsight much better for performance analysis.

The reasons are further explained by @Jeff Davis 's answer.

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Colby College
cs.colby.edu › courses › S14 › cs336 › online_materials › CUDA_Profiler_Users_Guide.pdf pdf
PROFILER USER'S GUIDE DU-05982-001_v5.5 | May 2013
location, change $TMPDIR on Linux/Mac or %TMP% on Windows. ... NVIDIA GPUs. The command line profiler allows users to gather timing information
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Stack Overflow
stackoverflow.com › questions › 49877983 › how-to-specify-nvprof-devices-option-for-nvidia-visual-profiler
cuda - How to specify nvprof "devices" option for Nvidia Visual Profiler? - Stack Overflow
I can now profile using Visual Profiler. ... Sign up to request clarification or add additional context in comments. ... veraj @ the nvidia developer's forum suggested setting the Windows environment variable before launching Visual Profiler: set CUDA_VISIBLE_DEVICES=0 2018-04-23T07:19:05.593Z+00:00