CentOS 8
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CUDA 10.1 : Install2019/10/10

Install GPU Computing Platform (GPGPU (General-Purpose computing on Graphics Processing Units)), CUDA (Compute Unified Device Architecture) provided by NVIDIA.
To use CUDA, it needs your computer has NVIDIA Graphic cards and also they are the CUDA-Enabled products.
Make sure the details on the site below. (most products are ready in the past few years)
⇒ https://developer.nvidia.com/cuda-gpus
[2] Download CUDA Repository RPM package from the site below and Install it.
[root@dlp ~]#
dnf config-manager --add-repo http://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo

Adding repo from: http://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo

# install with enabling EPEL too

[root@dlp ~]#
dnf --enablerepo=epel -y install cuda-10-1
[root@dlp ~]#
vi /etc/profile.d/cuda101.sh
# create new

export PATH=/usr/local/cuda-10.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-10.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
[root@dlp ~]#
source /etc/profile.d/cuda101.sh

[root@dlp ~]#
nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
[3] Verify installation with a common user to run sample program.
# copy samples

[cent@dlp ~]$
cuda-install-samples-10.1.sh ./

Copying samples to ./NVIDIA_CUDA-10.1_Samples now...
Finished copying samples.
[cent@dlp ~]$
cd ./NVIDIA_CUDA-10.1_Samples/1_Utilities/deviceQuery
# compile deviceQuery sample

[cent@dlp deviceQuery]$
# run deviceQuery sample

[cent@dlp deviceQuery]$

./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

[ 1267.090154] nvidia-uvm: Loaded the UVM driver in 8 mode, major device number 238
Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1070"
  CUDA Driver Version / Runtime Version          10.1 / 10.1
  CUDA Capability Major/Minor version number:    6.1
  Total amount of global memory:                 8120 MBytes (8513978368 bytes)
  (15) Multiprocessors, (128) CUDA Cores/MP:     1920 CUDA Cores
  GPU Max Clock rate:                            1785 MHz (1.78 GHz)
  Memory Clock rate:                             4004 Mhz
  Memory Bus Width:                              256-bit
  L2 Cache Size:                                 2097152 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
  Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 2 copy engine(s)
  Run time limit on kernels:                     No
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  Device supports Unified Addressing (UVA):      Yes
  Device supports Compute Preemption:            Yes
  Supports Cooperative Kernel Launch:            Yes
  Supports MultiDevice Co-op Kernel Launch:      Yes
  Device PCI Domain ID / Bus ID / location ID:   0 / 5 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.1, CUDA Runtime Version = 10.1, NumDevs = 1
Result = PASS

# try to run bandwidthTest sample

[cent@dlp deviceQuery]$
cd ~/NVIDIA_CUDA-10.1_Samples/1_Utilities/bandwidthTest

[cent@dlp bandwidthTest]$

[cent@dlp bandwidthTest]$

[CUDA Bandwidth Test] - Starting...
Running on...

 Device 0: GeForce GTX 1070
 Quick Mode

 Host to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(GB/s)
   32000000                     12.0

 Device to Host Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(GB/s)
   32000000                     13.1

 Device to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(GB/s)
   32000000                     195.8

Result = PASS

NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
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