Add more docs for summarizing technologies. (#8236)
Add a glossary for common technologies for simple reading.
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+# Glossary
+
+IREE exists in an ecosystem of projects, each using their own terminology
+and interacting in various ways. Below is a summation of these projects
+with the problems they are built to address.
+
+## JAX
+
+[JAX](https://github.com/google/jax) is a front-end for writing and
+executing Machine Learning models, including support for Google
+Cloud TPUs.
+
+## MLIR
+
+[Multi Level Intermediate Representation](https://mlir.llvm.org/) is
+the compiler framework that IREE is built around. Beyond the tooling
+this includes a set of common dialects and transformations that IREE
+utilizes for its code generation system.
+
+For general discussion on MLIR see the project's
+[discourse](https://discourse.llvm.org/c/mlir/31) group.
+
+## LinAlg
+
+[Linalg](https://mlir.llvm.org/docs/Dialects/Linalg/) is an MLIR dialect
+that defines how Linear Algebra operations can be described in a
+generalized fashion, including a set of commonly used operations.
+IREE's code generation defines tensor operations using the Linalg
+dialect, then uses it to generate the loop structures for the CPU and
+GPU backends.
+
+## SPIR-V
+
+[SPIR-V](https://www.khronos.org/spir/) is a shader and kernel intermediate
+language for expressing parallel computation typically used for GPUs. It serves
+as a hardware agnostic assembly format for distributing complex,
+computationally intensive programs. It is the preferred method for
+shipping platform agnostic binaries to run on GPUs.
+
+## TOSA
+
+The [TOSA](https://developer.mlplatform.org/w/tosa/) specification defines a
+set of common tensor operations to most machine learning frameworks.
+This simplifies model compilation as separate front-end frameworks can target
+TOSA's intermediate representation without compromising on the ability to
+achieve efficient execution across multiple device types.
+
+IREE uses the TOSA MLIR dialect as a prioritized ingestion format, transforming
+multiple ML-platform ingestion formats into a TOSA compatible set of operations.
+
+Changes to the TOSA specification require submitting a proposal on TOSA's
+[platform development page](https://developer.mlplatform.org/w/tosa/#:~:text=Specification%20Contributions)
+
+## TFLite
+
+[TensorFlow lite](https://www.tensorflow.org/lite) is a model format and
+execution system for performing on device inference. IREE supports TFLite
+flatbuffers translation into [TOSA](#tosa) operations and compilation
+into the LinAlg dialect.
diff --git a/docs/website/mkdocs.yml b/docs/website/mkdocs.yml
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- TensorFlow Lite: 'bindings/tensorflow-lite.md'
- 'Extensions':
- 'extensions/index.md'
- - 'Reference':
- - Optimization Options: 'reference/optimization-options.md'
- - 'Community':
- - 'community/index.md'
- 'Blog':
- 'blog/index.md'
- CUDA backend: 'blog/2021-10-15-cuda-backend.md'
- Work in progress on Matrix Multiplication on CPU: 'blog/2021-10-13-mmt4d.md'
- TFLite Support via TOSA: 'blog/2021-07-19-tflite-tosa.md'
+ - 'Reference':
+ - Glossary: 'reference/glossary.md'
+ - Optimization Options: 'reference/optimization-options.md'
+ - 'Community':
+ - 'community/index.md'
