CUDA 11.0 : Install2020/07/21 |
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 |
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[1] | |
[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
[root@dlp ~]#
vi /etc/profile.d/cuda110.sh # create new export PATH=/usr/local/cuda-11.0/bin${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda-11.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} source /etc/profile.d/cuda110.sh [root@dlp ~]# nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Thu_Jun_11_22:26:38_PDT_2020 Cuda compilation tools, release 11.0, V11.0.194 Build cuda_11.0_bu.TC445_37.28540450_0 |
[3] | Verify installation with a common user to run sample program. |
# copy samples [cent@dlp ~]$ cuda-install-samples-11.0.sh ./ Copying samples to ./NVIDIA_CUDA-11.0_Samples now... Finished copying samples.
[cent@dlp ~]$
cd ./NVIDIA_CUDA-11.0_Samples/1_Utilities/deviceQuery
# compile deviceQuery sample [cent@dlp deviceQuery]$ make
# run deviceQuery sample [cent@dlp deviceQuery]$ ./deviceQuery ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) [ 9264.210981] nvidia-uvm: Loaded the UVM driver, major device number 239. Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 1070" CUDA Driver Version / Runtime Version 11.0 / 11.0 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 Managed Memory: 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 = 11.0, NumDevs = 1 Result = PASS # try to run bandwidthTest sample [cent@dlp deviceQuery]$ cd ~/NVIDIA_CUDA-11.0_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 6.2 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 195.3 Result = PASS NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled. |
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