CentOS 8
Sponsored Link

CUDA 10.1 インストール
2019/10/10
 
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] NVIDIA のダウンロードサイトからリポジトリをダウンロードして CUDA をインストールします。
[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
# EPEL も有効にしてインストール

[root@dlp ~]#
dnf --enablerepo=epel -y install cuda
[root@dlp ~]#
vi /etc/profile.d/cuda101.sh
# 新規作成

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] 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-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
# 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)

[ 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

# bandwidthTest サンプル テスト

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

[cent@dlp bandwidthTest]$
make

[cent@dlp bandwidthTest]$
./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.
関連コンテンツ