basic installation required for CUDA hello world program? - cuda

I am very new to CUDA. Already know some C and Linux. I want to start for CUDA programming and want have a look over its scope.
1) From where i can start?
2) What all installation i need?
3) I am not able to install nvcc for Centos5, How can i install it? Is it available for 32 bit? Is anything else required?
I am using OS: Centos5
I already have nvidia 1GB graphics card.
Any kind of suggestions/comments/help will be appreciated. Thanks

CUDA Zone has everything you need to start
https://developer.nvidia.com/category/zone/cuda-zone
All you need to install is listed here
https://developer.nvidia.com/cuda-downloads
For CentOS 5 x86_64, you can install the version for Linux RHEL 5.5. Linux version doesn't support 32bit version except for Ubuntu as shown in the above link.

Related

Safe to install CUDA toolkit separately on WSL2 and Windows 10?

I've installed Nvidia CUDA toolkit on WSL2 Ubuntu following the specified instructions from the Windows site. I was wondering if installing the Nvidia toolkit on Windows 10 directly as well would cause any conflicts or override anything potentially for the WSL2 install?
I'll be using the two separate toolkits for two separate purposes (WSL2 for linux libraries requiring the linux toolkit, Windows for things such as VS NSight requiring the Windows toolkikt)
No, it won't be a problem and this is what you would have to do to use CUDA on the pure-windows side as well as on the WSL2 side.
Other expectations/requirements still apply. For example the CUDA toolkit versions installed in each location should be consistent with the GPU driver you have already installed.

While uninstalling CUDA toolkit ran into this problem, what to do?

I was installing CUDA toolkit and cuDNN for deep learning.
I downloaded the cuDNN libs, downloaded the CUDA toolkit and while installing the toolkit I get this,
And I never downloaded this, it's always been there.
Then I searched a bit about this and some guy said that we have to uninstall.
This is from my control panel,
So is it safe to uninstall these programs? And is this how to actually do it too?
It seems you previously installed higher versions of CUDA - maybe partially -
Try installing CUDA 11.4 instead.
Even if you want to use CUDA 11.2, uninstalling the above two components will not be a problem, as older versions will be installed instead.

NVBlas library in Cuda Tools for Mac 5.5

I just installed the Cuda Tools (5.5) on a Mac and I cannot locate the NVBlas library. It's not where the docs suggest it should be. Anyone having the same issue or know where it is? Checked all the libs and it's no where to be found.
NVBLAS is available starting with CUDA 6.0, not CUDA 5.5.

How to do downgrading cuda version

I'm currently using the cuda version 4.2 but I need to change it to 3.1. Is it possible to uninstall the current version (ver 4.2) and then install the previous version (ver 3.1) ?
EDIT : Please refer that my os system is linux ubuntu 10.04 64bit.
EDIT : I found how to get the version of 3.1. I have to send e-mail to "devzoneupdate#nvidia.com" to request this old version. Now, please let me know how to uninstall 4.2 then install 3.1.
EDIT : I downloaded cuda 3.1 by request to nvidia, then installed toolkit and SDK. When install the cuda 3.1 toolkit there comes the question about uninstallation of current version. For SDK, we can just delete ~/NVIDIA_GPU_Computing_SDK directory directly for the uninstallation of it. After deleting I could install the cuda 3.1 SDK. I'm done, thanks all.
Yes, you can easily downgrade the CUDA version provided you aren't using the CUDA toolkit functions which are only present in version greater than 3.1.
Also you would have to modify your project settings to use CUDA Rules version 3.1.
WARNING:
ubuntu 12.04 upgraded to 12.10 with standard cuda 4.2 installed; in the process of downgrading to CUDA 4.0 using NVIDA installer resulted the !! COMPLETE REMOVAL !! /usr/bin/
probably is a good idea to choose "NO" when removing existing CUDA installation is offered; though I never got to try it as only already loaded firefox remained functional.

cuda with optimus just to access gpgpu

I have a Dell XPS L502 with the Nvidia 525M graphics card. I am only interested in using the gpgpu capabilities of the card for now.
I installed Ubuntu 12.04 as a dual boot with the Windows 7 that came with the machine and followed several installation procedures for installing the CUDA driver and developer kit from Nvidia ( many re-installs of Ubuntu ). In all cases the display drops to 640x480 resolution. Best I can determine this has something to do with Optimus technology and Linux. I tried Bumblebee to no avail.
I really don't care about using the NVidia card to drive the display. Is there any way that I can just install the NVidia drivers so that a program can use the CUDA capabilities of the graphics card and I still get the full resolution on the display?
I had a similar issue with my Alienware M11xR2, and posted the solution on the NVIDIA Forums. Unfortunately the forums are down at the moment but essentially the process is as follows:
Install the Nvidia Drivers, but when prompted to modify your X11 Config, select 'No'. This is because the Nvidia card cannot be used as a display device.
Install the CUDA SDK and run one of the samples as root. I found this to be a necessary step. After this you should be able to execute further CUDA programs as a normal user.
Hope that helps.
With the new release of CUDA 5 the, comes the installation guide, there you have just one file that installs drivers, toolkit and sdk (even nvidia nsight). And one thing that got my attention is that you also have optimus options in the installation process.
I also have and Alienware M14x, and i understand your problem, but i also wanted the drivers to work for me, so i didn't try too hard on that.
Maybe you could give that a try and comment with the rest of us.
Here you can look for the CUDA 5 release candidate: CUDA 5
and here is the installation guide (maybe give this a read first): CUDA 5 Starting Guide for Linux.