标签：Files Computing nvidia 配置 CUDA NVIDIA win10 GPU v11.2
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\libnvvp
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\lib
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\lib\x64
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\CUPTI\lib64
(base) C:\Users\BIM>nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Mon_Nov_30_19:15:10_Pacific_Standard_Time_2020 Cuda compilation tools, release 11.2, V11.2.67 Build cuda_11.2.r11.2/compiler.29373293_0 (base) C:\Users\BIM> (base) C:\Users\BIM>
(base) C:\Users\BIM>
(base) C:\Users\BIM>
(base) C:\Users\BIM>
(base) C:\Users\BIM>cd C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>deviceQuery.exe
deviceQuery.exe Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce RTX 3080 Laptop GPU"
CUDA Driver Version / Runtime Version 11.2 / 11.2
CUDA Capability Major/Minor version number: 8.6
Total amount of global memory: 16384 MBytes (17179869184 bytes)
(48) Multiprocessors, (128) CUDA Cores/MP: 6144 CUDA Cores
GPU Max Clock rate: 1245 MHz (1.25 GHz)
Memory Clock rate: 6001 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 4194304 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: 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: 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: Yes
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 = 11.2, CUDA Runtime Version = 11.2, NumDevs = 1, Device0 = GeForce RTX 3080 Laptop GPU
Result = PASS
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>bandwidthTest.exe
[CUDA Bandwidth Test] - Starting...
Running on...
Device 0: GeForce RTX 3080 Laptop GPU
Quick Mode
Host to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 12575.2
Device to Host Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 12644.2
Device to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 342246.0
Result = PASS
NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
(base) C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite>
参考：https://blog.csdn.net/qq_43012930/article/details/111430958
####################
标签：Files,Computing,nvidia,配置,CUDA,NVIDIA,win10,GPU,v11.2 来源： https://www.cnblogs.com/herd/p/14949503.html
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。