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126 lines
3.5 KiB
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126 lines
3.5 KiB
ReStructuredText
.. meta::
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:description: ROCm Compute Profiler documentation and reference
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:keywords: Omniperf, ROCm, profiler, tool, Instinct, GPUs, accelerator, AMD,
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ROCm Optiq, graphical analysis
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*******************************************
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ROCm Compute Profiler (rocprofiler-compute)
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*******************************************
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This documentation provides a comprehensive overview of the ROCm Compute
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Profiler tool. In addition to a full deployment guide with installation
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instructions, this documentation also explains the ideas motivating the design
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behind the tool and its components.
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If you're new to ROCm Compute Profiler, familiarize yourself with the tool by reviewing the
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chapters that follow and gradually learn its more advanced features. To get
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started, see :doc:`What is ROCm Compute Profiler? <what-is-rocprof-compute>`.
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ROCm Compute Profiler is open source and hosted at `<https://github.com/ROCm/rocm-systems/tree/develop/projects/rocprofiler-compute>`__.
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.. note::
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The rocprofiler-compute repository for ROCm 7.0 and earlier is located at `<https://github.com/ROCm/rocprofiler-compute>`_.
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.. grid:: 2
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:gutter: 3
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.. grid-item-card:: Install
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* :doc:`Install ROCm Compute Profiler <install/core-install>`
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* :doc:`Install from source <install/source-install>`
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* :doc:`Quickstart <install/quickstart>`
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.. grid-item::
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Use the following topics to learn more about the advantages of ROCm Compute Profiler in your
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development toolkit, how it aims to model performance, and how to use ROCm Compute Profiler
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in practice.
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.. grid:: 2
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:gutter: 3
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.. grid-item-card:: How to
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* :doc:`how-to/use`
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* :doc:`how-to/pc_sampling`
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* :doc:`how-to/live_attach_detach`
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* :doc:`how-to/profile/mode`
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* :doc:`how-to/analyze/mode`
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* :doc:`how-to/analyze/cli`
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* :doc:`how-to/analyze/standalone-gui`
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* :doc:`how-to/analyze/tui`
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* :doc:`how-to/analyze/optiq`
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.. grid-item-card:: Conceptual
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* :doc:`conceptual/performance-model`
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* :doc:`conceptual/cdna/cdna-performance-model`
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* :doc:`conceptual/cdna/system-speed-of-light`
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* :doc:`conceptual/cdna/compute-unit`
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* :doc:`conceptual/cdna/l2-cache`
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* :doc:`conceptual/cdna/shader-engine`
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* :doc:`conceptual/cdna/command-processor`
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* :doc:`conceptual/rdna/rdna-performance-model`
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* :doc:`conceptual/rdna/system-speed-of-light`
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* :doc:`conceptual/rdna/shader-engine`
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* :doc:`conceptual/rdna/spi`
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* :doc:`conceptual/rdna/wgp`
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* :doc:`conceptual/rdna/gl0-cache`
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* :doc:`conceptual/rdna/gl1-cache`
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* :doc:`conceptual/rdna/gl2-cache`
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* :doc:`conceptual/rdna/gcea`
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* :doc:`conceptual/rdna/command-processor`
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* :doc:`conceptual/rdna/grbm`
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* :doc:`conceptual/rdna/references`
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* :doc:`conceptual/definitions`
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* :ref:`normalization-units`
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.. grid-item-card:: Tutorials
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* :doc:`tutorial/profiling-by-example`
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* :doc:`Learning resources <tutorial/learning-resources>`
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.. grid-item-card:: Reference
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* :doc:`reference/compatible-accelerators`
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* :doc:`reference/faq`
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This project is proudly open source. For more details on how to contribute,
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refer to
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`Contributing to ROCm <https://rocm.docs.amd.com/en/latest/contribute/contributing.html>`_.
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Find ROCm licensing information on the
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`Licensing <https://rocm.docs.amd.com/en/latest/about/license.html>`_ page.
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