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* doc reorg and edits * Update wrapper.rst with changes from PR #1098 * Update docs/dockerhub.rst Co-authored-by: Bartlomiej Wroblewski <bwroblewski10@gmail.com> * Update docs/index.rst Co-authored-by: Bartlomiej Wroblewski <bwroblewski10@gmail.com> * Update docs/what-is-ck.rst Co-authored-by: Bartlomiej Wroblewski <bwroblewski10@gmail.com> * Update docs/what-is-ck.rst Restored to 4 bullets, with additional text for wrapper. Co-authored-by: Bartlomiej Wroblewski <bwroblewski10@gmail.com> * Update docs/Contributors_Guide.rst Co-authored-by: Lisa <lisajdelaney@gmail.com> * Update API_Reference_Guide.rst using sentence case for title * updated index structure per Lisa * separate docker hub and tutorial --------- Co-authored-by: Bartlomiej Wroblewski <bwroblewski10@gmail.com> Co-authored-by: Lisa <lisajdelaney@gmail.com> Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
41 lines
1.3 KiB
ReStructuredText
41 lines
1.3 KiB
ReStructuredText
.. meta::
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:description: Composable Kernel documentation and API reference library
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:keywords: composable kernel, CK, ROCm, API, documentation
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.. _what-is-ck:
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********************************************************************
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What is the Composable Kernel library
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********************************************************************
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Methodology
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===========
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The Composable Kernel (CK) library provides a programming model for writing performance critical kernels for machine learning workloads across multiple architectures including GPUs and CPUs, through general purpose kernel languages like HIP C++.
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CK utilizes two concepts to achieve performance portability and code maintainability:
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* A tile-based programming model
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* Algorithm complexity reduction for complex ML operators using an innovative technique called
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"Tensor Coordinate Transformation".
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.. image:: data/ck_component.png
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:alt: CK Components
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Code Structure
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==============
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The CK library is structured into 4 layers:
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* "Templated Tile Operators" layer
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* "Templated Kernel and Invoker" layer
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* "Instantiated Kernel and Invoker" layer
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* "Client API" layer
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It also includes a simple wrapper component used to perform tensor transform operations more easily and with fewer lines of code.
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.. image:: data/ck_layer.png
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:alt: CK Layers
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