Windows 10 安装 CUDA Toolkit 10.1

Windows 10 安装 CUDA Toolkit 10.1

0. NVCUDA.DLL - NVIDIA CUDA 10.1.135 driver - NVIDIA 驱动程序版本

NVIDIA 控制面板 -> 帮助 -> 系统信息 -> 组件
Windows 10 安装 CUDA Toolkit 10.1_第1张图片

1. CUDA Toolkit

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

2. CUDA Toolkit 10.1 original 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

Windows 10 安装 CUDA Toolkit 10.1_第2张图片

3. 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
Windows 10 安装 CUDA Toolkit 10.1_第3张图片

2. NVIDIA 软件许可协议
Windows 10 安装 CUDA Toolkit 10.1_第4张图片

Windows 10 安装 CUDA Toolkit 10.1_第5张图片

3. 自定义
Windows 10 安装 CUDA Toolkit 10.1_第6张图片

Windows 10 安装 CUDA Toolkit 10.1_第7张图片

Windows 10 安装 CUDA Toolkit 10.1_第8张图片

4. 选择安装位置
Windows 10 安装 CUDA Toolkit 10.1_第9张图片

5. NVIDIA 安装程序失败
Windows 10 安装 CUDA Toolkit 10.1_第10张图片

Windows 10 安装 CUDA Toolkit 10.1_第11张图片

6. 自定义安装选项 - 取消勾选 Visual Studio Integration
Windows 10 安装 CUDA Toolkit 10.1_第12张图片

Windows 10 安装 CUDA Toolkit 10.1_第13张图片

Windows 10 安装 CUDA Toolkit 10.1_第14张图片

7. CUDA Samples
C:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.1
Windows 10 安装 CUDA Toolkit 10.1_第15张图片

4. 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>

Windows 10 安装 CUDA Toolkit 10.1_第16张图片

5. C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1

Windows 10 安装 CUDA Toolkit 10.1_第17张图片

6. 环境变量 -> 系统变量

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

Windows 10 安装 CUDA Toolkit 10.1_第18张图片

7. demo_suite

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite
Windows 10 安装 CUDA Toolkit 10.1_第19张图片

Shift + 鼠标右键 -> 在此处打开 Powershell 窗口
Windows 10 安装 CUDA Toolkit 10.1_第20张图片

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>

References

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/

你可能感兴趣的:(CUDA,-,cuDNN)