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 # StructTensor: Compiling Structured Tensor Algebra
 
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 StructTensor is the first framework that supports structured computation for tensor algebra on variable-sized tensors. It uses program reasoning and compiler techniques to generate a high-performance structure-aware code that can achieve up to 6 orders of magnitude performance boost over well-known dense tensor frameworks such as NumPy, PyTorch, and TensorFlow over structured computation. The  StructTensor compiler is written in Scala and will output a C++ code that can be later compiled through C++ compilers such as Clang or GCC.
 
 To learn more about StructTensor, please read [our paper published in OOPSLA'23](https://dl.acm.org/doi/pdf/10.1145/3622804).