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.. mdinclude:: index.md


.. toctree::
   :caption: Overview
   :hidden:

   Compatibility <libxsmm_compat.md>
   Validation <libxsmm_valid.md>
   Scripts <libxsmm_scripts.md>
   Q&A <libxsmm_qna.md>


.. toctree::
   :caption: LIBXSMM Domains

   MM: Matrix Multiplication <libxsmm_mm.md>
   TPP: Tensor Processing Primitives <libxsmm_tpp.md>
   DNN: Deep Neural Networks <https://libxsmm.readthedocs.io/#deep-learning>
   AUX: Service Functions <libxsmm_aux.md>
   PROF: Performance Profiling <libxsmm_prof.md>
   TUNE: Customization <libxsmm_tune.md>
   BE: Backend <libxsmm_be.md>


.. toctree::
   :caption: Example Code
   :hidden:

   Collection <libxsmm_samples.md>


.. toctree::
   :caption: Machine Learning (ML)

   PlaidML tensor compiler <https://github.com/plaidml/plaidml>
   Extension for PyTorch <https://github.com/libxsmm/libxsmm/tree/main/samples/deeplearning/conv1dopti_layer>


.. toctree::
   :caption: Scientific (HPC)

   CP2K <cp2k.md>
   SeisSol <https://seissol.readthedocs.io/en/latest/compilation.html#installing-libxsmm>
   SpECTRE <https://sxs-collaboration.github.io/spectre/installation.html>
   libCEED <https://ceed.exascaleproject.org/ceed-code/>
   Fastor <https://github.com/romeric/Fastor/wiki/9.-Using-the-LIBXSMM-MKL-JIT-backend>
   EDGE <https://usr.dial3343.org/en/master/chapters/install/edge.html#edge>
   PyFR <https://pyfr.readthedocs.io/en/latest/performance_tuning.html#libxsmm>


.. toctree::
   :caption: About

   Contributing <CONTRIBUTING.md>
   License <LICENSE.md>