Open4
CUDAで遊ぶ
ksk-stInterface 2022年8月号を眺めつつ遊んでみる.
WSL2 Ubuntu 20.04で実施.
nvidia-smiでcuda 11.6を指していたので, 11.6版が取得できるようにinstall手順を公式から探索.
$ nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.68.02 Driver Version: 512.77 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:01:00.0 On | N/A |
| 27% 36C P8 11W / 120W | 929MiB / 6144MiB | 9% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
cuda-11-6にしないと11-7が入ってしまっていたのでここだけ変更.
(nvidia-smiが使えるようにsetupしていたはずだが, そのあたりのセットアップ手順は忘れた.)
$ wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin
$ sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600
$ sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/3bf863cc.pub
$ sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/ /"
$ sudo apt-get update
$ sudo apt-get -y install cuda-11-6
cuda_hello.cuを作成
#include <iostream>
int main(){
std::cout << "Hello CU World." << std::endl;
}
nvccでbuild
$ nvcc cuda_hello.cu
$ ./a.out
Hello CU World.
NVIDIAでCUDAのサンプルを提供しているらしい.
Samples/0_Introduction/asyncAPIをまずは試してみる.
$ ./asyncAPI
[./asyncAPI] - Starting...
GPU Device 0: "Turing" with compute capability 7.5
CUDA device [NVIDIA GeForce GTX 1660 Ti]
time spent executing by the GPU: 13.75
time spent by CPU in CUDA calls: 0.11
CPU executed 172525 iterations while waiting for GPU to finish
vulkan使いたくて, WSL2上の使い方を探ってみた.
使えない, という内容が多い中で動かしているプロがいたので確認してみた.
Preinstall対応
$ sudo apt install meson ninja-build python3-pip libpciaccess-dev llvm-11 libelf-dev libwayland-dev libwayland-egl-backend-dev libx11-dev libxext-dev libxfixes-dev libxcb-glx0-dev libxcb-shm0-dev libx11-xcb-dev libxcb-dri2-0-dev libxcb-dri3-dev libxcb-present-dev libxshmfence-dev libxxf86vm-dev x11-xserver-utils libxrandr-dev vulkan-tools
$ pip3 install mako
libdrm_intel >= 2.4.110への対応.(20.04が2.4.107をdefaultにしているので更新する.)
$ wget http://launchpadlibrarian.net/612928838/libdrm-common_2.4.110-1ubuntu1~20.04.1_all.deb
$ wget http://launchpadlibrarian.net/612928851/libdrm2_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ wget http://launchpadlibrarian.net/612928849/libdrm-radeon1_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ wget http://launchpadlibrarian.net/612928848/libdrm-nouveau2_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ wget http://launchpadlibrarian.net/612928847/libdrm-intel1_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ wget http://launchpadlibrarian.net/612928846/libdrm-amdgpu1_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ wget http://launchpadlibrarian.net/612928839/libdrm-dev_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ sudo apt install ./libdrm-common_2.4.110-1ubuntu1~20.04.1_all.deb
$ sudo apt install ./libdrm2_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ sudo apt install ./libdrm-radeon1_2.4.110-1ubuntu1~20.04.1_amd64.deb ./libdrm-nouveau2_2.4.110-1ubuntu1~20.04.1_amd64.deb ./libdrm-intel1_2.4.110-1ubuntu1~20.04.1_amd64.deb ./libdrm-amdgpu1_2.4.110-1ubuntu1~20.04.1_amd64.deb
$ sudo apt install ./libdrm-dev_2.4.110-1ubuntu1~20.04.1_amd64.deb
wayland-protocols >= 1.24への対応.
$ wget http://launchpadlibrarian.net/583356324/wayland-protocols_1.25-1_all.deb
$ sudo apt install ./wayland-protocols_1.25-1_all.deb
mesaを取得
$ git clone https://gitlab.freedesktop.org/mesa/mesa.git
$ cd mesa
$ mkdir build
llvm-11がllvm-configそのものをインストールしてないので,
custom-llvm.iniを作っておく.
[binaries]
llvm-config = '/usr/bin/llvm-config-11'
実install対応
$ meson setup build -Dvulkan-drivers=microsoft-experimental --native-file custom-llvm.ini
$ cd build
$ sudo ninja install
vulkan動作確認
$ VK_ICD_FILENAMES=/usr/local/share/vulkan/icd.d/dzn_icd.x86_64.json vkcube
GPUも使われている.
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.68.02 Driver Version: 512.77 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:01:00.0 On | N/A |
| 27% 37C P8 12W / 120W | 925MiB / 6144MiB | 35% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 15243 G /vkcube N/A |
+-----------------------------------------------------------------------------+
これ単体でそれなりのボリュームなので記事化しておく予定.