파일
rocm-systems/docs/what-is-rocprof-sys.rst
T
David Galiffi 032d39f15c Update branding to ROCm Systems Profiler in documentation (#2)
* Update branding in docs

* Rename image used in documentation

* Update names of code samples.

In the code snippets, the "-" is not valid. ex., rocprof-sys_ --> rocprofsys_

* Update ASCII art

* update Doxyfile strip_from_path

* Add a "Formerly known as" message.

* Fixed typo in product name

ROCm Systems Profiler, not ROCm Profiler System

* Add "Omnitrace" back to the metadata keywords

* Update "install via package manager" section

* Update paths to user API files

* Rename configuration and environment settings

* Update Doxyfiles

Update publisher name & ID to "AMD".
Update bundle ID to "rocprofiler-systems"

* Update docs/what-is-rocprof-sys.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/conceptual/data-collection-modes.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/tutorials/video-tutorials.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/conceptual/rocprof-sys-feature-set.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/how-to/configuring-runtime-options.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/how-to/configuring-validating-environment.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/how-to/general-tips-using-rocprof-sys.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/reference/rocprof-sys-glossary.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/reference/development-guide.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/how-to/instrumenting-rewriting-binary-application.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/install/quick-start.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Note that videos were recorded using the "Omnitrace" name.

* Rebase and update some file paths

* Update paths to doc images

* Update Omnitrace references in code snippets

* Rename examples still using the "omni" prefix.

* Update docs/how-to/performing-causal-profiling.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/how-to/profiling-python-scripts.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/how-to/sampling-call-stack.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/how-to/understanding-rocprof-sys-output.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* Update docs/install/install.rst

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

---------

Co-authored-by: Peter Park <peter.park@amd.com>
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
2024-10-17 15:19:19 -04:00

34 라인
2.0 KiB
ReStructuredText

.. meta::
:description: ROCm Systems Profiler introduction, explanation, and reference
:keywords: rocprof-sys, rocprofiler-systems, Omnitrace, ROCm, profiler, explanation, introduction, what is, tracking, visualization, tool, Instinct, accelerator, AMD
******************
What is ROCm Systems Profiler?
******************
ROCm Systems Profiler is designed for the high-level profiling and comprehensive tracing
of applications running on the CPU or the CPU and GPU. It supports dynamic binary
instrumentation, call-stack sampling, and various other features for determining
which function and line number are currently executing.
A visualization of the comprehensive ROCm Systems Profiler results can be observed in any modern
web browser. Upload the Perfetto (``.proto``) output files produced by ROCm Systems Profiler at
`ui.perfetto.dev <https://ui.perfetto.dev/>`_ to see the details.
.. important::
Perfetto validation is done with trace_processor v46.0 as there is a known issue with v47.0.
If you are experiencing problems viewing your trace in the latest version of `Perfetto <http://ui.perfetto.dev>`_,
then try using `Perfetto UI v46.0 <https://ui.perfetto.dev/v46.0-35b3d9845/#!/>`_.
Aggregated high-level results are available as human-readable text files and
JSON files for programmatic analysis. The JSON output files are compatible with the
`hatchet <https://github.com/hatchet/hatchet>`_ Python package. Hatchet converts
the performance data into pandas data frames and facilitates multi-run comparisons, filtering,
and visualization in Jupyter notebooks.
To use ROCm Systems Profiler for instrumentation, follow these two configuration steps:
#. Indicate the functions and modules to :doc:`instrument <./how-to/instrumenting-rewriting-binary-application>` in the target binaries, including the executable and any libraries
#. Specify the :doc:`instrumentation parameters <./how-to/configuring-runtime-options>` to use when the instrumented binaries are launched