NVIDIA : CUDA 13.0 インストール2025/08/07 |
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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。 |
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| [2] | NVIDIA 公式リポジトリから CUDA をインストールします。 NVIDIA 公式リポジトリは [1] のドライバーインストール時に設定していることが前提です。 |
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[root@dlp ~]#
dnf -y install cuda-13-0 git cmake
[root@dlp ~]#
vi /etc/profile.d/cuda130.sh # 新規作成 export PATH=/usr/local/cuda-13.0/bin${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda-13.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} source /etc/profile.d/cuda130.sh [root@dlp ~]# nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Wed_Jul_16_07:30:01_PM_PDT_2025 Cuda compilation tools, release 13.0, V13.0.48 Build cuda_13.0.r13.0/compiler.36260728_0 |
| [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。 |
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# サンプルプログラムを取得 [cent@dlp ~]$ git clone https://github.com/NVIDIA/cuda-samples.git
[cent@dlp ~]$
cd ./cuda-samples/Samples/1_Utilities/deviceQuery
# deviceQuery サンプル コンパイル [cent@dlp deviceQuery]$ cmake ./
-- The C compiler identification is GNU 14.3.1 -- The CXX compiler identification is GNU 14.3.1 -- The CUDA compiler identification is NVIDIA 13.0.48 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/local/cuda-13.0/bin/nvcc - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Found CUDAToolkit: /usr/local/cuda-13.0/targets/x86_64-linux/include (found version "13.0.48") -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Configuring done (3.2s) -- Generating done (0.0s) -- Build files have been written to: /home/cent/cuda-samples/Samples/1_Utilities/deviceQuery[cent@dlp deviceQuery]$ make
[ 50%] Building CXX object CMakeFiles/deviceQuery.dir/deviceQuery.cpp.o [100%] Linking CXX executable deviceQuery [100%] Built target deviceQuery # 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: "NVIDIA GeForce RTX 3060"
CUDA Driver Version / Runtime Version 13.0 / 13.0
CUDA Capability Major/Minor version number: 8.6
Total amount of global memory: 11910 MBytes (12488343552 bytes)
(028) Multiprocessors, (128) CUDA Cores/MP: 3584 CUDA Cores
GPU Max Clock rate: 1777 MHz (1.78 GHz)
Memory Clock rate: 7501 Mhz
Memory Bus Width: 192-bit
L2 Cache Size: 2359296 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 shared memory per multiprocessor: 102400 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
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 Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 7 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 13.0, CUDA Runtime Version = 13.0, NumDevs = 1
Result = PASS
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