Currently (2021/9), it is still hard to use CUDA on WSL which allgebra closely depends on.
CUDA on WSL document says
Ensure that you install Build version 20145 or higher. We recommend being on WIP OS 21332 and higher with Linux Kernel 5.4.91+ for the best performance.
This requires Windows Insider Program with beta channel, which is also known as Windows 11
- Enable Windows 10 Insider Preview with beta channel, and run Windows Update
- Install NVIDIA Drivers for CUDA on WSL, including DirectML Support
- Install Docker Desktop for Windows
- Use WSL mode instead of Hyper-V mode
Then you can run docker on Powershell
PS C:\Users\username> docker run -it --rm --gpus=all ghcr.io/ricosjp/allgebra/cuda10_1/clang12/oss:21.06.1
root@528ba142c5ca:/# cd /examples/clang_omp_offloading/
root@528ba142c5ca:/examples/clang_omp_offloading# make test
clang++ -fopenmp -fopenmp-targets=nvptx64 -Xopenmp-target -march=sm_75 -O3 -std=c++11 -lm omp_offloading.cpp -o omp_offloading.out
clang++ -fopenmp -fopenmp-targets=nvptx64 -Xopenmp-target -march=sm_75 -O3 -std=c++11 -lm omp_offloading_cublas.cpp -o omp_offloading_cublas.out -lcuda -lcublas -lcudart
clang++ -fopenmp -fopenmp-targets=nvptx64 -Xopenmp-target -march=sm_75 -O3 -std=c++11 -lm omp_offloading_math.cpp -o omp_offloading_math.out
./omp_offloading.out 1000000
dot = 2e+06
Pass!
./omp_offloading_cublas.out 1000000
dot = 2e+06
Pass!
./omp_offloading_math.out 1000000
ret = 909297
Pass!