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CUDA 8.0 インストール
2018/01/27
 
NVIDIA 社製グラフィックカードによる GPUコンピューティング (GPGPU(General-Purpose computing on Graphics Processing Units)) プラットフォーム CUDA (Compute Unified Device Architecture) をインストールします。
CUDA を利用するにあたっては、グラフィックカードが対応製品である必要があります。
詳細は NVIDIA 社のサイトで確認ください。(ここ数年のものであればほぼ対応)
⇒ https://developer.nvidia.com/cuda-gpus
[1]
[2]
CUDA のダウンロードサイトから Repository RPM パッケージをダウンロードして CUDA をインストールします。
⇒ https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=CentOS&target_version=7&target_type=rpmnetwork
[root@dlp ~]#
rpm -Uvh cuda-repo-rhel7-8.0.61-1.x86_64.rpm

Preparing...                          ################################# [100%]
Updating / installing...
   1:cuda-repo-rhel7-8.0.61-1         ################################# [100%]

# 通常時は無効にしておく

[root@dlp ~]#
sed -i -e "s/enabled=1/enabled=0/g" /etc/yum.repos.d/cuda.repo
# CUDA, EPELからインストール

[root@dlp ~]#
yum --enablerepo=cuda,epel install cuda-8-0 xorg-x11-drv-nvidia dkms gcc make
[root@dlp ~]#
vi /etc/profile.d/cuda80.sh
# 新規作成

export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
# インストール後は一旦再起動

[root@dlp ~]#
reboot
[3] 任意の一般ユーザーでサンプルプログラムを実行して動作確認します。
# サンプルプログラムをコピー

[cent@dlp ~]$
cuda-install-samples-8.0.sh ./

Copying samples to ./NVIDIA_CUDA-8.0_Samples now...
Finished copying samples.
[cent@dlp ~]$
cd ./NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery
# deviceQuery サンプル コンパイル

[cent@dlp deviceQuery]$
make
# deviceQuery サンプル 実行

[cent@dlp deviceQuery]$
./deviceQuery

./deviceQuery Starting...

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

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1060 6GB"
  CUDA Driver Version / Runtime Version          9.1 / 8.0
  CUDA Capability Major/Minor version number:    6.1
  Total amount of global memory:                 6078 MBytes (6373179392 bytes)
  (10) Multiprocessors, (128) CUDA Cores/MP:     1280 CUDA Cores
  GPU Max Clock rate:                            1848 MHz (1.85 GHz)
  Memory Clock rate:                             4004 Mhz
  Memory Bus Width:                              192-bit
  L2 Cache Size:                                 1572864 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 PCI Domain ID / Bus ID / location ID:   0 / 3 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime Version = 8.0, 
             NumDevs = 1, Device0 = GeForce GTX 1060 6GB
Result = PASS

# bandwidthTest サンプル テスト

[cent@dlp deviceQuery]$
cd ~/NVIDIA_CUDA-8.0_Samples/1_Utilities/bandwidthTest

[cent@dlp bandwidthTest]$
make

[cent@dlp bandwidthTest]$
./bandwidthTest

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

 Device 0: GeForce GTX 1060 6GB
 Quick Mode

 Host to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(MB/s)
   33554432                     6108.4

 Device to Host Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(MB/s)
   33554432                     6531.4

 Device to Device Bandwidth, 1 Device(s)
 PINNED Memory Transfers
   Transfer Size (Bytes)        Bandwidth(MB/s)
   33554432                     154639.7

Result = PASS

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