Prepare your CentOS/RHEL machine by updating your system, installing EPEL, installing kernel headers, and installing CUDA drivers.
Update the entire system and reboot to activate the latest kernel.
sudo yum update
sudo rebootYou must install dkms for registering the NVIDA kernel module with DKMS:
sudo yum install epel-release
sudo yum install --enablerepo=epel dkms
sudo yum install libglvnd-develInstall kernel headers and development packages and reboot your system to ensure that the kernel is up to date:
sudo yum install kernel-devel-$(uname -r) kernel-headers$(uname -r)
sudo rebootThe gcc compiler is required for development using the CUDA Toolkit. It is not required for running CUDA applications. It is generally installed as part of the Linux installation, and in most cases the version of gcc installed with a supported version of Linux will work correctly.
yum group install "Development Tools"
gcc --version If the nouveau kernel driver used by the CentOS 7, installer would not work as this driver is incompatible with the NVIDIA driver and it must be disabled. Edit grub file as follows:
sudo nano /etc/default/grubAppend the following to the GRUB_CMDLINE_LINUX line: modprobe.blacklist=nouveau. Save and close the file. Rebuild the grub config and restart the system as per BIOS or UEFI system.
for BIOS user:
sudo grub2-mkconfig -o /boot/grub2/grub.cfgfor UEFI user:
sudo grub2-mkconfig -o /boot/efi/EFI/redhat/grub.cfgReboot the Linux box now:
sudo rebootNOTE: Use alt+ctrl+F2 to switch to terminal only mode once nouveau is disabled.
SOURCE: https://centos.org/forums/viewtopic.php?t=70510
The recommended way to do this on CentOS/RHEL is to use the ELRepo third party yum repository. They take the nvidia .run binary blob and package it as an rpm for installation with yum and they do that in such a way that it survives most kernel updates. If you use the .run file then you will need to reinstall the driver after every kernel update.
Import the public key and install ELRepo for RHEL-7, SL-7 or CentOS-7:
rpm --import https://www.elrepo.org/RPM-GPG-KEY-elrepo.org
yum install https://www.elrepo.org/elrepo-release-7.0-4.el7.elrepo.noarch.rpm First remove all previous Nvidia drivers:
sudo yum autoremove nvidia*Detect Nvidia driver package.
yum install nvidia-detect
nvidia-detectwith the result (for Tesla C2075 = kmod-nvidia-390xx ) install ELRepo Nvidia drivers
sudo yum install kmod-nvidia-390xx Run nvidia-smi to verify that your drivers are installed correctly and recognize the GPUs in your environment. Depending on your environment, you should see something like this to verify that your NVIDIA GPUs and drivers are present:
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.116 Driver Version: 390.116 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla C2075 Off | 00000000:01:00.0 Off | 0 |
| 30% 58C P0 82W / N/A | 0MiB / 5301MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
Download Nvidia toolkit 8.0 HERE
CUDA Toolkit 8.0 - Feb 2017
Operating System: Linux
Architecture : x86_64
Distribution: CentOS
Version: 7
Instaler Type: run (local)
To install use:
sudo sh ./cuda_8.0.61_375.26_linux.run
# Follow instructions
sudo rebootNOTE: Install only CUDA toolkit 8.0
To add this path to the PATH and the LD_LIBRARY_PATH variable:
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
--------------------------------------------------------------------
Welcome to Oproda(tm) system
"The poor man's version of Vitez(tm) workstation..."
-- unknown --
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Navoljo so orodja za prevajanje devtools-7 (gcc-7, gfortran-7, etc.):
$ scl enable devtools-7 bash
$ gcc --version
Za racunanje je navoljo Nvidia graficni pospesevalnik (Tesla C2075). Namescen je Nvidia CUDA toolkit 8.0.
Za uporabo C/C++ prevajalnika od Nvidia-e (nvcc-8.0.16) uporabi naslednje ukaze:
$ export PATH=$PATH:/usr/local/cuda/bin
$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
$ nvcc --version
Za graficni pospesevalnik so nalozeni najnovejsi (se delujoci) gonilniki: v390.116
Delovanje graficnega pospesevalnika preveri z ukazom:
$ nvidia-smi
Namescen je GROMACS 2018.6-dev:
$ gmx --version
Namescen je LAMMPS (7 Aug 2019):
$ lmp -h
--------------------------------------------------------------------
V primeru vprasanj se obrni na administratorja:
Jure Cerar (xxx@yyy.zz)
Jurij Rescic (xxx@yyy.zz)
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As already pointed out, nvcc depends on gcc 4.4. It is possible to configure nvcc to use the correct version of gcc without passing any compiler parameters by adding softlinks to the bin directory created with the nvcc install.
The default cuda binary directory (the installation default) is /usr/local/cuda/bin, adding a softlink to the correct version of gcc from this directory is sufficient:
sudo ln -s /usr/bin/gcc-4.4 /usr/local/cuda/bin/gcc