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CUDA Toolkit
https://developer.nvidia.com/cuda-toolkit
CUDA Toolkit Download
https://developer.nvidia.com/cuda-downloads
CUDA Toolkit Archive
https://developer.nvidia.com/cuda-toolkit-archive
CUDA Toolkit 10.1 original Archive
https://developer.nvidia.com/cuda-10.1-download-archive-base
CUDA Toolkit 10.1 (Feb 2019), Online Documentation
https://docs.nvidia.com/cuda/archive/10.1/
The checksums for the installer and patches can be found in Installer Checksums
.
https://developer.download.nvidia.cn/compute/cuda/10.1/Prod/docs/sidebar/md5sum.txt
For further information, see the Installation Guide for Microsoft Windows
and the CUDA Quick Start Guide
.
https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html
https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html
cuda_10.1.105_418.96_win10.exe
1. Double click cuda_10.1.105_418.96_win10.exe
C:\Users\cheng\AppData\Local\Temp\CUDA
6. 自定义安装选项 - 取消勾选 Visual Studio Integration
7. CUDA Samples
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.1
nvcc -V
Microsoft Windows [版本 10.0.17763.1158]
(c) 2018 Microsoft Corporation。保留所有权利。
C:\Users\cheng>nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:08:26_Pacific_Standard_Time_2019
Cuda compilation tools, release 10.1, V10.1.105
C:\Users\cheng>
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
CUDA_PATH
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
CUDA_PATH_V10_1
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
NVCUDASAMPLES_ROOT
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.1
NVCUDASAMPLES10_1_ROOT
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.1
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite
Shift + 鼠标右键 -> 在此处打开 Powershell 窗口
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> dir
目录: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite
Mode LastWriteTime Length Name
---- ------------- ------ ----
d----- 2020/5/4 21:16 nbody_data_files
d----- 2020/5/4 21:16 oceanFFT_data_files
d----- 2020/5/4 21:16 randomFog_data_files
-a---- 2019/2/9 13:57 250880 bandwidthTest.exe
-a---- 2019/2/9 13:57 279552 busGrind.exe
-a---- 2019/2/9 13:57 200192 deviceQuery.exe
-a---- 2019/2/9 13:57 311296 freeglut.dll
-a---- 2019/2/9 13:57 229376 glew64.dll
-a---- 2019/2/9 13:57 1265664 nbody.exe
-a---- 2019/2/9 13:57 552448 oceanFFT.exe
-a---- 2019/2/9 13:57 409088 randomFog.exe
-a---- 2019/2/9 13:57 224256 vectorAdd.exe
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite>
.\bandwidthTest.exe
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> .\bandwidthTest.exe
[CUDA Bandwidth Test] - Starting...
Running on...
Device 0: GeForce GTX 1060 with Max-Q Design
Quick Mode
Host to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 6343.7
Device to Host Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 6409.8
Device to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 146651.3
Result = PASS
NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite>
.\deviceQuery.exe
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> .\deviceQuery.exe
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite\deviceQuery.exe Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 1060 with Max-Q Design"
CUDA Driver Version / Runtime Version 10.1 / 10.1
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 6144 MBytes (6442450944 bytes)
(10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores
GPU Max Clock rate: 1342 MHz (1.34 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: zu bytes
Total amount of shared memory per block: zu 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: zu bytes
Texture alignment: zu bytes
Concurrent copy and kernel execution: Yes with 5 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
CUDA Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Model)
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 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, Device0 = GeForce GTX 1060 with Max-Q Design
Result = PASS
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite>
CUDA Toolkit
https://developer.nvidia.com/cuda-toolkit
GPU-Accelerated Libraries for AI and HPC
https://developer.nvidia.com/gpu-accelerated-libraries
NVIDIA Developer Tools Overview
https://developer.nvidia.com/tools-overview
CUDA Toolkit Documentation
https://docs.nvidia.com/cuda/
CUDA Installation Guide for Microsoft Windows
https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html
CUDA Quick Start Guide
https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html
CUDA Code Samples
https://developer.nvidia.com/cuda-code-samples
An Even Easier Introduction to CUDA
https://devblogs.nvidia.com/even-easier-introduction-cuda/
NVIDIA Developer Blog
https://devblogs.nvidia.com/
Accelerated Computing - Training
https://developer.nvidia.com/accelerated-computing-training
NVIDIA Developer Forums
https://forums.developer.nvidia.com/
Display Driver Uninstaller (DDU)
https://www.wagnardsoft.com/