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Composable Kernel User Guide
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Introduction
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This document contains instructions for installing, using, and contributing to Composable Kernel (CK).

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Methodology
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Composable Kernel (CK) library aims to provide a programming model for writing performance critical
kernels for machine learning workloads across multiple architectures including GPUs, CPUs, etc,
through general purpose kernel languages, like HIP C++.

CK utilizes two concepts to achieve performance portability and code maintainability:

* A tile-based programming model
* Algorithm complexity reduction for complex ML operators, using innovative technique we call
  "Tensor Coordinate Transformation".

.. image:: data/ck_component.png
   :alt: CK Components

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Code Structure
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Current CK library are structured into 4 layers:

* "Templated Tile Operators" layer
* "Templated Kernel and Invoker" layer
* "Instantiated Kernel and Invoker" layer
* "Wrapper for tensor tranforms operations"
* "Client API" layer

.. image:: data/ck_layer.png
   :alt: CK Layers
   
Documentation Roadmap
^^^^^^^^^^^^^^^^^^^^^
The following is a list of CK documents in the suggested reading order:

.. toctree::
   :maxdepth: 5
   :caption: Contents:
   :numbered:

   tutorial_hello_world
   dockerhub
   wrapper
   Supported_Primitives_Guide
   API_Reference_Guide
   Contributors_Guide
