NVIDIA CUDA Compiler Driver NVCC

NVIDIA CUDA Compiler Driver NVCC

        • [4.2.8.23. `--list-gpu-code` (`-code-ls`)](#4.2.8.23. --list-gpu-code (-code-ls))
        • [4.2.8.24. `--list-gpu-arch` (`-arch-ls`)](#4.2.8.24. --list-gpu-arch (-arch-ls))
  • References

https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/

The documentation for nvcc, the CUDA compiler driver.

CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU. The device code is further compiled by NVCC. NVCC is based on LLVM.

Any source file containing CUDA language extensions (.cu) must be compiled with nvcc.

  • Nvidia CUDA Compiler (NVCC)

Nvidia CUDA Compiler (NVCC) is a compiler by Nvidia intended for use with CUDA.

复制代码
strong@foreverstrong:~$ which nvcc
/usr/local/cuda-8.0/bin/nvcc

C:\Users\cheng>nvcc --version
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:\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:\Users\cheng>nvidia-smi
Tue Feb 25 23:59:24 2025
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 528.49       Driver Version: 528.49       CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ... WDDM  | 00000000:01:00.0 Off |                  N/A |
| N/A   44C    P0    22W /  60W |      0MiB /  6144MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

C:\Users\cheng>

nvidia-sminvcc --version 显示的 CUDA Version 差异:

  • nvcc --version refers to the version of the CUDA toolkit installed on the system. The CUDA toolkit includes the compiler, libraries, and other tools. (NVIDIA Toolkit driver)
  • nvidia-smi refers to the CUDA GPU driver version supported by the installed NVIDIA graphics driver. (GPU driver, aka CUDA Driver)

The CUDA driver version must be greater than or equal to the CUDA toolkit version for proper functionality.

复制代码
strong@foreverstrong:~$ ls -l /dev/nv*
crw-rw-rw- 1 root root 195,   0 11月  7 14:59 /dev/nvidia0
crw-rw-rw- 1 root root 195, 255 11月  7 14:59 /dev/nvidiactl
crw-rw-rw- 1 root root 195, 254 11月  7 14:59 /dev/nvidia-modeset
crw-rw-rw- 1 root root 242,   0 11月  7 14:59 /dev/nvidia-uvm
crw-rw-rw- 1 root root 242,   1 11月  7 19:07 /dev/nvidia-uvm-tools
4.2.8.23. --list-gpu-code (-code-ls)

List the non-accelerated gpu architectures (sm_XX) supported by the tool and exit.

If both --list-gpu-code and --list-gpu-arch are set, the list is displayed using the same format as the --generate-code value.

4.2.8.24. --list-gpu-arch (-arch-ls)

List the non-accelerated virtual device architectures (compute_XX) supported by the tool and exit.

If both --list-gpu-arch and --list-gpu-code are set, the list is displayed using the same format as the --generate-code value.

复制代码
nvcc --list-gpu-arch

References

1\] Yongqiang Cheng,

相关推荐
fleaxin2 天前
统信服务器操作系统V20(1070)安装过程
docker·操作系统·nvidia·统信
安全二次方security²6 天前
CUDA C++编程指南(7.31&32&33&34)——C++语言扩展之性能分析计数器函数和断言、陷阱、断点函数
c++·人工智能·nvidia·cuda·断点·断言·性能分析计数器函数
安全二次方security²7 天前
CUDA C++编程指南(7.25)——C++语言扩展之DPX
c++·人工智能·nvidia·cuda·dpx·cuda c++编程指南
安全二次方security²12 天前
CUDA C++编程指南(7.19&20)——C++语言扩展之Warp投票函数和Warp匹配函数
c++·人工智能·nvidia·cuda·投票函数·匹配函数·vote
安全二次方security²13 天前
CUDA C++编程指南(7.15&16)——C++语言扩展之内存空间谓词和转化函数
c++·人工智能·nvidia·cuda·内存空间谓词函数·内存空间转化函数·address space
安全二次方security²13 天前
CUDA C++编程指南(7.5&6)——C++语言扩展之内存栅栏函数和同步函数
c++·人工智能·nvidia·cuda·内存栅栏函数·同步函数·syncthreads
安全二次方security²14 天前
CUDA C++编程指南(7.2)——C++语言扩展之变量内存空间指定符
c++·人工智能·nvidia·cuda·内存空间指定符·__shared__·__device__
安全二次方security²14 天前
CUDA C++编程指南(7.1)——C++语言扩展之函数执行空间指定符
c++·人工智能·nvidia·cuda·cuda编程·global·函数执行空间指定符
云雾J视界15 天前
AI服务器供电革命:为何交错并联Buck成为算力时代的必然选择
服务器·人工智能·nvidia·算力·buck·dgx·交错并联
4032407318 天前
【2026最新】Jetson全系列安装支持CUDA加速的OpenCV 4.10保姆级教程(适配Jetpack 6/5及Orin/Xavier/Nano等)
linux·opencv·计算机视觉·nvidia·cuda·jetson