• win10 nvidia环境配置


    C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2in
    C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2libnvvp
    C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2lib
    C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2libx64
    C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2include
    C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasCUPTIlib64

    (base) C:UsersBIM>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:UsersBIM>
    (base) C:UsersBIM>
    (base) C:UsersBIM>
    (base) C:UsersBIM>
    (base) C:UsersBIM>
    (base) C:UsersBIM>cd C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite
    
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_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 FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_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 FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>
    (base) C:Program FilesNVIDIA GPU Computing ToolkitCUDAv11.2extrasdemo_suite>

     参考:https://blog.csdn.net/qq_43012930/article/details/111430958

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  • 原文地址:https://www.cnblogs.com/herd/p/14949503.html
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