Project is based on python3.8 and 3.9, containing some C and C++ source How can I do parallel computing on CPU and GPU of M1max In deed, I buy Mac m1max for the strong GPU to do quantitative finance, for which the speed is extremely important. Unfortunately, cuda is not compatible with Mac. Show me how to do it, thx. Are Accelerate(for CPU) and Metal(for GPU) can speed up any source by building like this: Step 1: download source from github Step 2: create a file named "site.cfg"in this souce file, and add content: [accelerate] libraries=Metal, Acelerate, vecLib Step 3: Terminal: NPY_LAPACK_Order=accelerate python3 setup.py build Step 4: pip3 install . or python3 setup.py install ? (I am not sure which method to apply) 2、how is the compatibility of such method? I need speed up numpy, pandas and even a open souce project, such as https://github.com/microsoft/qlib 3、just show me the code 4、when compiling C++, C source, a lot of errors were reported, which gcc and g++ to choose? the default gcc installed by brew is 4.2.1, which cannot work. and I even tried to download gcc from the offical website of ARM， still cannot work. give me a hint. thx so much urgent