CUDA 10.2 インストール2020/07/21 |
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 |
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[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 ~]# yum -y install yum-utils [root@dlp ~]# yum-config-manager --add-repo http://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo adding repo from: http://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo
[root@dlp ~]#
vi /etc/profile.d/cuda102.sh # 新規作成 export PATH=/usr/local/cuda-10.2/bin${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} source /etc/profile.d/cuda102.sh [root@dlp ~]# nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Wed_Oct_23_19:24:38_PDT_2019 Cuda compilation tools, release 10.2, V10.2.89 |
[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-10.2.sh ./ Copying samples to ./NVIDIA_CUDA-10.2_Samples now... Finished copying samples.
[cent@dlp ~]$
cd ./NVIDIA_CUDA-10.2_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) [ 959.877074] nvidia-uvm: Loaded the UVM driver, major device number 241. Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 1070" CUDA Driver Version / Runtime Version 11.0 / 10.2 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 8119 MBytes (8513716224 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 = 11.0, CUDA Runtime Version = 10.2, NumDevs = 1 Result = PASS # bandwidthTest サンプル テスト [cent@dlp deviceQuery]$ cd ~/NVIDIA_CUDA-10.2_Samples/1_Utilities/bandwidthTest [cent@dlp bandwidthTest]$ make [cent@dlp bandwidthTest]$ ./bandwidthTest 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 6.3 Device to Host Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 13.2 Device to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 195.3 Result = PASS NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled. |
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