Here is a window from the Nvidia Nsight visual Studio edition.
I am trying to analyze my CUDA code, but I use the Nvidia Nsight Eclipse Edition. Can someone please tell me how do I get such information in the Eclipse edition? I searched and searched, but could not find any way. This question may appear to be very naive, but it has got me really frustrated.
Thanks!
You can get these metrics details by NVIDIA Visual Profiler directly by collect metrics. Also the visual profiler can be triggered also from Nsight Eclipse Editon by setting Profile configurations.
Related
My setup environment: CUDA 10.2
Device: RTX 2080
OS: Ubuntu 16.04
When I try to use nvprof, I find that it doesn't support devices with compute capability 7.2 and higher.
It is recommended that I should use Nsight Compute or Nsight Systems instead.
But I can not launch the above two software because of the lack of graphical interface.
How could I use Nsight Compute in remote server?
By the way, is it possible to profile metrics in Nsight Compute?
How to profile in CUDA application with compute capability 7.x?
For compute capability 7.5 and higher the recommended tools are nsight compute, and nsight systems. The documentation for nsight compute is here, the documentation for nsight systems is here. There is an introductory blog describing these "new" CUDA profiler tools here, and a tutorial blog on nsight systems here and a tutorial blog on nsight compute here. The introductory blog describes why there are 2 tools, and how they relate to each other.
Is metric “dram_read_throughput” valid in Nsight Compute?
It is not. The naming format of that metric indicates it is a nvprof metric. The nvprof metric names can generally not be used directly in Nsight Compute. To find out if there is an "equivalent" metric in nsight compute for a given nvprof metric, use the nvprof transition guide, in particular the metric comparison table. By studying that table, you'll note that there is a Nsight compute metric that is equivalent to dram_read_throughput and it is named dram__bytes_read.sum.per_second For instructions on how to capture this metric in nsight compute, please refer to the blog I already mentioned here, or refer to the documentation here.
But I can not launch the above two software because of the lack of graphical interface. How could I use Nsight Compute in remote server?
If you have the CUDA toolkit installed on the remote server, you should be able to run Nsight Compute in CLI (command-line-interface) mode. That is described both in the documentation already linked, and the blog article already linked. Alternatively, you may be able to run the GUI in remote mode, as described here.
By the way, is it possible to profile metrics in Nsight Compute?
Yes, we have already covered that.
I won't be able to use this question/answer to debug remote connection details or any other follow-up questions about specific access cases or usage scenarios of Nsight tools. There are documentation and tutorials already available. If you have another specific question, please ask a new question. To locate resources for Nsight Compute and Nsight Systems, I suggest simply googling those names. Usually the first hits will be landing pages here and here which link to all of the above resources, plus additional resources such as video tutorials describing specific cases and advanced usage.
All of these tools are available on windows as well with similar user interfaces. Furthermore, these tools can/should be used for any GPU of compute capability 7.0 or higher.
I have the Nvidia Quadro NVS4200M along with Intel Integrated Graphics (on my laptop). I can't seem to get the CUDA 5.0 toolkit installation to succeed.
I am running Windows 7 Enterprise Edition 64-bit. I tried the 64-bit desktop & notebook installers and the 32-bit installers.
All of them seem to fail with the error message "Display Driver failed installation". I installed the latest drivers from here, and it is supposed to support CUDA-5.0, and despite that, the installation fails.
After failure, the libraries and binaries are present, but NSight Eclipse (which seems to have no standalone installation link) isn't installed. What could be the possible issue?
I'm not sure why the driver install failed in your case, but if you
have a "recent" driver installed, it's not necessary to use the
driver that comes with the cuda installer. The cuda installer
offers individual options to install the toolkit (required), samples
(optional), and driver (required only if you have an older driver),
so you can just select "no" when prompted for the driver install, to
avoid this, assuming you have a recent driver or installed one such
as the 307.45 driver.
You should always use a 64 bit installer if you have a 64 bit OS.
The only officially supported C/C++ compiler for windows is cl.exe, the microsoft compiler that ships with either Microsoft Visual Studio (the Express edition will do, it is free), or the Windows SDK (for command line use only). You're free to experiment with other stuff, but your mileage may vary. MS VS 2010 (and 2008) are the easiest to use. MS VS 2012 can be made to work but may require extra steps.
I recommend installing cuda after installing Microsoft Visual Studio. This is because the cuda installer should automatically find your VS installation and update some important files to make building cuda projects easier.
nsight Eclipse Edition is a linux-only tool (or mac). It is not for windows use, and will not be installed by the windows cuda installers. nsight EE provides an environment for code building, debugging, and profiling. In windows, the corresponding operations can be done via MS VS IDE for code building, the standalone visual profiler for profiling, and using a separate plug-in, nsight visual studio edition, for debugging and profiling within visual studio. Due to the way visual studio is constructed, nsight visual studio edition will not work with the free versions of visual studio. nsight visual studio has it's own separate installer.
The windows getting started guide may also be of interest.
after installing Compute Visual Profiler,
I open it with this error:
Unable to load the 'nvcuda' library.
Computer Visual Profiler device features will be disabled.
My computer does not have NVIDIA graphic card. Would it be a problem causing this issue?
Thanks in advance.
The Visual Profiler is designed to execute programs and collect profile data, it's looking for the NVIDIA driver and when it can't find the driver it tells you. You should still be able to use the Visual Profiler to load projects created on other machines with CUDA capable GPUs.
I have installed Parallel Nsight for Visual Studio 2010. Due to my research, it is not able to debugging on machines which dont have NVIDIA graphic card.
Therefore, I would like to debug it on the server (connecting to the server), would it be possible?
Thanks in advance.
Yes. You can install Visual Studio and Parallel Nsight on your developer machine, and install Parallel Nsight on the remote machine with the GPU. Then you simply configure Parallel Nsight to execute on the remote machine.
Behind the scenes, when you "start CUDA debugging", Nsight will copy the executable (and any specified data files) to the remote machine and launch the task.
See the Parallel Nsight website for more details and to check system requirements, as well as the documentation that is installed.
So I have successfully installed the CUDA toolkit and GPU computing SDK on a Mac Pro running OS X version 10.6.6. The sample CUDA programs provided with the SDK as well as some programs of my own work well. However, when I run any of these CUDA programs through the NVIDIA Visual Profiler (the executable is called computeprof), I always get the following error upon launch:
"Unable to initialize the Profiling in Start/Stop mode"
NVIDIA's documentation does not mention this error, and Googling shows a single post in the NVIDIA forums in which several people have run into this problem recently (since October 2010) but no solutions.
Any information on this error message would be greatly appreciated.
If Visual Profiler v4.0 isn't working for you, there's a new CUDA release out (v4.1) and it includes a completely new & re-designed Visual Profiler.
The new NVIDIA Visual Profiler (v4.1) supports automated performance analysis to identify performance improvement opportunities in your application. It also links directly to the most useful sections of the Best Practices Guide for the issues it detects. And the Visual Profiler is available for free as part of the CUDA Toolkit on NVIDIA's developer web site: http://www.nvidia.com/getcuda.
If you experience any problems, please file a bug via your (free) NVIDIA registered developer account so the team working on the Visual Profiler can figure out the problem.
Are you using CUDA4.0?
I had problem with CUDA 4.0 and visual profiler (I use a Linux system). But it works fine with CUDA 3.2.