Add multi-file trace parsing and analysis pipeline - #4259
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Extends build time analysis from #3644 to handle multiple trace files across build directories (see #3575): - pipeline.py: Generic pipeline framework with fluent interface for composable data processing. Provides parallel processing, progress tracking, and error handling independent of trace-specific code. Processes thousands of trace files at default resolution in minutes, aggregating results into in-memory DataFrames for analysis. - parse_build.py: Parse all trace files in a build directory - build_analysis.example.ipynb: Demonstrates pipeline aggregation across all build files The pipeline design improves capability (composable operations), performance (parallel processing), and user-friendliness (fluent API) of the analysis modules. It enables analyzing compilation patterns across the entire codebase with all trace data available in pandas DataFrames for interactive exploration.
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Add multi-file trace parsing and analysis pipeline MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Extends build time analysis from #3644 to handle multiple trace files across build directories (see #4229): - pipeline.py: Generic pipeline framework with fluent interface for composable data processing. Provides parallel processing, progress tracking, and error handling independent of trace-specific code. Processes thousands of trace files at default resolution in minutes, aggregating results into in-memory DataFrames for analysis. - parse_build.py: Parse all trace files in a build directory - build_analysis_example.ipynb: Demonstrates pipeline aggregation across all build files The pipeline design improves capability (composable operations), performance (parallel processing), and user-friendliness (fluent API) of the analysis modules. It enables analyzing compilation patterns across the entire codebase with all trace data available in pandas DataFrames for interactive exploration.
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Extends build time analysis from ROCm/composable_kernel#3644 to handle multiple trace files across build directories (see #4229): - pipeline.py: Generic pipeline framework with fluent interface for composable data processing. Provides parallel processing, progress tracking, and error handling independent of trace-specific code. Processes thousands of trace files at default resolution in minutes, aggregating results into in-memory DataFrames for analysis. - parse_build.py: Parse all trace files in a build directory - build_analysis_example.ipynb: Demonstrates pipeline aggregation across all build files The pipeline design improves capability (composable operations), performance (parallel processing), and user-friendliness (fluent API) of the analysis modules. It enables analyzing compilation patterns across the entire codebase with all trace data available in pandas DataFrames for interactive exploration. --- 🔁 Imported from [ROCm/composable_kernel#3704](ROCm/composable_kernel#3704) 🧑💻 Originally authored by @shumway Co-authored-by: John Shumway <jshumway@amd.com> Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
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Extends build time analysis from ROCm/composable_kernel#3644 to handle multiple trace files across build directories (see #4229): - pipeline.py: Generic pipeline framework with fluent interface for composable data processing. Provides parallel processing, progress tracking, and error handling independent of trace-specific code. Processes thousands of trace files at default resolution in minutes, aggregating results into in-memory DataFrames for analysis. - parse_build.py: Parse all trace files in a build directory - build_analysis_example.ipynb: Demonstrates pipeline aggregation across all build files The pipeline design improves capability (composable operations), performance (parallel processing), and user-friendliness (fluent API) of the analysis modules. It enables analyzing compilation patterns across the entire codebase with all trace data available in pandas DataFrames for interactive exploration. --- 🔁 Imported from [ROCm/composable_kernel#3704](ROCm/composable_kernel#3704) 🧑💻 Originally authored by @shumway Co-authored-by: John Shumway <jshumway@amd.com> Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
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Extends build time analysis from ROCm/composable_kernel#3644 to handle multiple trace files across build directories (see ROCm#4229): - pipeline.py: Generic pipeline framework with fluent interface for composable data processing. Provides parallel processing, progress tracking, and error handling independent of trace-specific code. Processes thousands of trace files at default resolution in minutes, aggregating results into in-memory DataFrames for analysis. - parse_build.py: Parse all trace files in a build directory - build_analysis_example.ipynb: Demonstrates pipeline aggregation across all build files The pipeline design improves capability (composable operations), performance (parallel processing), and user-friendliness (fluent API) of the analysis modules. It enables analyzing compilation patterns across the entire codebase with all trace data available in pandas DataFrames for interactive exploration. --- 🔁 Imported from [ROCm/composable_kernel#3704](ROCm/composable_kernel#3704) 🧑💻 Originally authored by @shumway Co-authored-by: John Shumway <jshumway@amd.com> Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
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Add multi-file trace parsing and analysis pipeline (#4259) Extends build time analysis from #3644 to handle multiple trace files across build directories (see #4229): - pipeline.py: Generic pipeline framework with fluent interface for composable data processing. Provides parallel processing, progress tracking, and error handling independent of trace-specific code. Processes thousands of trace files at default resolution in minutes, aggregating results into in-memory DataFrames for analysis. - parse_build.py: Parse all trace files in a build directory - build_analysis_example.ipynb: Demonstrates pipeline aggregation across all build files The pipeline design improves capability (composable operations), performance (parallel processing), and user-friendliness (fluent API) of the analysis modules. It enables analyzing compilation patterns across the entire codebase with all trace data available in pandas DataFrames for interactive exploration. --- 🔁 Imported from [#3704](#3704) 🧑💻 Originally authored by @shumway Co-authored-by: John Shumway <jshumway@amd.com> Co-authored-by: Illia Silin <98187287+illsilin@users.noreply.github.com>
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Extends build time analysis from ROCm/composable_kernel#3644 to handle multiple trace files across build directories (see #4229):
The pipeline design improves capability (composable operations), performance (parallel processing), and user-friendliness (fluent API) of the analysis modules. It enables analyzing compilation patterns across the entire codebase with all trace data available in pandas DataFrames for interactive exploration.
🔁 Imported from ROCm/composable_kernel#3704
🧑💻 Originally authored by @shumway