Python-moa (mathematics of arrays) is an approach to a high level tensor compiler that is based on the work of Lenore Mullins and her dissertation. A high level compiler is necessary because there are many optimizations that a low level compiler such as gcc will miss. It is trying to solve many of the same problems as other technologies such as the taco compiler and the xla compiler. However, it takes a much different approach than others guided by the following principles.
- What is the shape? Everything has a shape. scalars, vectors, arrays, operations, and functions.
- What are the given indicies and operations required to produce a given index in the result?
Having a compiler that is guided upon these principles allows for high level reductions that other compilers will miss and allows for optimization of algorithms as a whole. Keep in mind that MOA is NOT a compiler. It is a theory that guides compiler development. Since python-moa is based on theory we get unique properties that other compilers cannot guarantee:
from Planet SciPy
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