Moving to KomputeProject org
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Alejandro Saucedo
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README.md
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README.md
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<tr>
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<td width="20%">
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<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute.jpg">
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<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute.jpg">
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</td>
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<td>
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* Robust codebase with [90% unit test code coverage](https://kompute.cc/codecov/)
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* Advanced use-cases on [machine learning 🤖](https://towardsdatascience.com/machine-learning-and-data-processing-in-the-gpu-with-vulkan-kompute-c9350e5e5d3a), [mobile development 📱](https://towardsdatascience.com/gpu-accelerated-machine-learning-in-your-mobile-applications-using-the-android-ndk-vulkan-kompute-1e9da37b7617) and [game development 🎮](https://towardsdatascience.com/supercharging-game-development-with-gpu-accelerated-ml-using-vulkan-kompute-the-godot-game-engine-4e75a84ea9f0).
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## Getting Started
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Below you can find a GPU multiplication example using the C++ and Python Kompute interfaces.
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You can [join the Discord](https://discord.gg/ywjaBH6v24) for questions/discussion, open a [github issue](https://github.com/KomputeFoundation/kompute/issues/new), or read [the documentation](https://kompute.cc/).
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You can [join the Discord](https://discord.gg/ywjaBH6v24) for questions/discussion, open a [github issue](https://github.com/KomputeProject/kompute/issues/new), or read [the documentation](https://kompute.cc/).
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### Your First Kompute (C++)
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<td width="50%">
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<a href="https://colab.research.google.com/drive/1l3hNSq2AcJ5j2E3YIw__jKy5n6M615GP?authuser=1#scrollTo=1BipBsO-fQRD">
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<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/binder-cpp.jpg">
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<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/binder-cpp.jpg">
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</a>
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</td>
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<td>
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<a href="https://colab.research.google.com/drive/15uQ7qMZuOyk8JcXF-3SB2R5yNFW21I4P">
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<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/binder-python.jpg">
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<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/binder-python.jpg">
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</a>
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</td>
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@ -281,13 +281,13 @@ Both videos have timestamps which will allow you to skip to the most relevant se
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<td width="50%">
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<a href="https://www.youtube.com/watch?v=Xz4fiQNmGSA">
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<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-cpp-video.png">
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<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-cpp-video.png">
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</a>
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</td>
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<td>
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<a href="https://www.youtube.com/watch?v=AJRyZ09IUdg">
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<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-python-video.png">
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<img src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-python-video.png">
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</a>
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</td>
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<td width=30%>
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<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-vulkan-architecture.jpg">
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<img width="100%" src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-vulkan-architecture.jpg">
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<br>
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<br>
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<br>
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<br>
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<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/suspicious.jfif">
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<img width="100%" src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/suspicious.jfif">
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</td>
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<td>
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<img width="100%" src="https://raw.githubusercontent.com/KomputeFoundation/kompute/master/docs/images/kompute-architecture.jpg">
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<img width="100%" src="https://raw.githubusercontent.com/KomputeProject/kompute/master/docs/images/kompute-architecture.jpg">
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</td>
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</tr>
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</table>
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The image below provides an intuition on how Kompute Sequences can be allocated to different queues to enable parallel execution based on hardware. You can see the [hands on example](https://kompute.cc/overview/advanced-examples.html#parallel-operations), as well as the [detailed documentation page](https://kompute.cc/overview/async-parallel.html) describing how it would work using an NVIDIA 1650 as an example.
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## Mobile Enabled
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Kompute has been optimized to work in mobile environments. The [build system](#build-overview) enables for dynamic loading of the Vulkan shared library for Android environments, together with a working [Android NDK wrapper](https://github.com/KomputeFoundation/kompute/tree/master/vk_ndk_wrapper_include) for the CPP headers.
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Kompute has been optimized to work in mobile environments. The [build system](#build-overview) enables for dynamic loading of the Vulkan shared library for Android environments, together with a working [Android NDK wrapper](https://github.com/KomputeProject/kompute/tree/master/vk_ndk_wrapper_include) for the CPP headers.
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<table>
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<tr>
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@ -354,18 +354,18 @@ Kompute has been optimized to work in mobile environments. The [build system](#b
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<p>
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For a full deep dive you can read the blog post "<a href="https://towardsdatascience.com/gpu-accelerated-machine-learning-in-your-mobile-applications-using-the-android-ndk-vulkan-kompute-1e9da37b7617">Supercharging your Mobile Apps with On-Device GPU Accelerated Machine Learning</a>".
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You can also access the <a href="https://github.com/KomputeFoundation/kompute/tree/v0.4.0/examples/android/android-simple">end-to-end example code</a> in the repository, which can be run using android studio.
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You can also access the <a href="https://github.com/KomputeProject/kompute/tree/v0.4.0/examples/android/android-simple">end-to-end example code</a> in the repository, which can be run using android studio.
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</p>
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<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/android-example/docs/images/android-editor.jpg">
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<img src="https://raw.githubusercontent.com/KomputeProject/kompute/android-example/docs/images/android-editor.jpg">
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</td>
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<td width="30%">
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<img src="https://raw.githubusercontent.com/KomputeFoundation/kompute/android-example/docs/images/android-kompute.jpg">
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<img src="https://raw.githubusercontent.com/KomputeProject/kompute/android-example/docs/images/android-kompute.jpg">
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</td>
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</tr>
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@ -402,7 +402,7 @@ pip install kp
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You can also install from master branch using:
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```
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pip install git+git://github.com/KomputeFoundation/kompute.git@master
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pip install git+git://github.com/KomputeProject/kompute.git@master
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```
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For further details you can read the [Python Package documentation](https://kompute.cc/overview/python-package.html) or the [Python Class Reference documentation](https://kompute.cc/overview/python-reference.html).
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cmake -Bbuild
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```
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You also are able to add Kompute in your repo with `add_subdirectory` - the [Android example CMakeLists.txt file](https://github.com/KomputeFoundation/kompute/blob/7c8c0eeba2cdc098349fcd999102bb2cca1bf711/examples/android/android-simple/app/src/main/cpp/CMakeLists.txt#L3) shows how this would be done.
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You also are able to add Kompute in your repo with `add_subdirectory` - the [Android example CMakeLists.txt file](https://github.com/KomputeProject/kompute/blob/7c8c0eeba2cdc098349fcd999102bb2cca1bf711/examples/android/android-simple/app/src/main/cpp/CMakeLists.txt#L3) shows how this would be done.
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For a more advanced overview of the build configuration check out the [Build System Deep Dive](https://kompute.cc/overview/build-system.html) documentation.
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