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[CUDA cc] 顯示卡計算能力分析 (以GT710為例)(未成功安裝)

發表於 : 2022-07-11, 11:57
Lexaul
參考資料:
Nvidia CUDA cc(計算能力) Table:https://developer.nvidia.com/cuda-gpus#compute
https://forums.developer.nvidia.com/t/h ... 1-0/147053
https://forums.developer.nvidia.com/t/w ... 0/146956/4

1.透過評測網站確認CUDA版本
https://www.techpowerup.com/gpu-specs/g ... -710.c1990
2.維基百科
https://zh.wikipedia.org/zh-tw/CUDA#%E6 ... 5%E5%86%B5
3.NVIDIA GPU Computing Toolkit

代碼: 選擇全部

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\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 GT 710"
  CUDA Driver Version / Runtime Version          11.0 / 11.0
  CUDA Capability Major/Minor version number:    3.5
  Total amount of global memory:                 2048 MBytes (2147483648 bytes)
  ( 1) Multiprocessors, (192) CUDA Cores/MP:     192 CUDA Cores
  GPU Max Clock rate:                            954 MHz (0.95 GHz)
  Memory Clock rate:                             2505 Mhz
  Memory Bus Width:                              64-bit
  L2 Cache Size:                                 524288 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 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 1 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:            No
  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 = 11.0, CUDA Runtime Version = 11.0, NumDevs = 1, Device0 = GeForce GT 710
Result = PASS
4.最低驅動程式版本支援
https://docs.nvidia.com/cuda/cuda-toolk ... r-versions
5.各代顯示卡版本最終支援版本
https://docs.nvidia.com/deploy/cuda-com ... x.html#faq
6.總結:目前(2022/07/11)GT710 最後支援及硬體資訊
pytorch11.3 相容於 CUDA 11.4
https://github.com/pytorch/pytorch/issues/75992
CUDA:
10.2
11.4 Update 4(失敗:可能是需要獨立安裝binary-待測試)
下載點:11.4-4失敗
(根據CUDA Toolkit and Corresponding Driver Versions)
CC:3.5
DRIVER:cuda11.4 >=472.50 / cuda 10.2 >=441.22
PYTORCH:目前最新版(1.12.0/cuda 10.2 僅可使用於1.8.2 LTS)
https://pytorch.org/get-started/locally/
PYTHON:目前最新版