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-smi 和 nvcc --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, https://yongqiang.blog.csdn.net/

相关推荐
wei_shuo5 天前
GR00T N1 深度观察:当机器人行业开始谈论“基础模型“——88 小时数据家底、三道行业难题,与 NVIDIA 给出的第一个通用人形解法
nvidia·启元机器人·gr00t n1
Vex2une5 天前
异构双卡渲染避坑指南:AMD+NVIDIA混合架构下的DLSS 5适配与性能调优实战
nvidia·amd·vulkan·ai渲染·dlss5·异构双卡·dx12
the3clipse5 天前
DLSS5 Swapper 获取及使用教程:5分钟一键开启游戏神经渲染
nvidia·神经渲染·dlss5·dlss5 swapper·游戏画质优化·reshade·renodx
本地化文档7 天前
cutile-rs-book-l10n
rust·gpu·nvidia·cuda·sphinx·crowdin
撞强8 天前
Unraid 7.3.2 下 NVIDIA 显卡风扇转速调整维护文档
nvidia·xorg·unraid·fan
张张123y8 天前
120B 模型单卡跑起来?拆解 Nemotron 3.5 的压缩三板斧与本地智能体部署
nvidia·模型量化·本地部署·ai agent·nemotron
丰色木夕11 天前
Ubuntu22.04下源码编译安装USD-Brep
c++·ubuntu·nvidia·usd-brep
wflynn24 天前
GitHub 今日推荐|SCSKiller:游戏着色器预编译消除卡顿
开源·c#·github·nvidia·amd·directx12
kakakahahahaha1 个月前
LoadLibrary failed with error 87 排查:ERROR_INVALID_PARAMETER、DLL路径、架构与显卡驱动
windows·电脑·笔记本电脑·nvidia·软件需求
智码看视界1 个月前
AI 推理优化 | Triton Inference Server 架构解析:单机多模型并发推理的工业级方案
nvidia·模型部署·mlops·triton·gpu推理·推理服务化·动态批处理