Implementing docs feedback with typos and minor enhancements
Co-authored-by: Jose Santos <josantos@amd.com> Signed-off-by: colramos-amd <colramos@amd.com>
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The [Omniperf](https://github.com/ROCm/omniperf) Tool is architecturally composed of three major components, as shown in the following figure.
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- **Omniperf Profiling**: Acquire raw performance counters via application replay based on [rocProf](https://rocm.docs.amd.com/projects/rocprofiler/en/latest/rocprof.html). The counters are stored in a comma-seperated value, for further analysis. A set of MI200 specific micro benchmarks are also run to acquire the hierarchical roofline data. The roofline model is not available on earlier accelerators.
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- **Omniperf Profiling**: Acquire raw performance counters via application replay based on [rocProf](https://rocm.docs.amd.com/projects/rocprofiler/en/latest/rocprof.html). The counters are stored in a comma-separated format, for further analysis. A set of MI200 specific micro benchmarks are also run to acquire the hierarchical roofline data. The roofline model is not available on earlier accelerators.
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- **Omniperf Grafana Analyzer**:
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- *Grafana database import*: All raw performance counters are imported into the backend MongoDB database for Grafana GUI analysis and visualization. Compatibility of previously generated data between Omniperf versions is not necessarily guaranteed.
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- *Grafana GUI Analyzer*: A Grafana dashboard is designed to retrieve the raw counters info from the backend database. It also creates the relevant performance metrics and visualization.
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- **Omniperf Standalone GUI Analyzer**: A standalone GUI is provided to enable performance analysis without importing data into the backend database.
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> Note: To learn more about the client vs. server model of Omniperf and our install process please see the [Deployment section](./installation.md) of the docs.
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