Add real FFT benchmarks to benchmark suite #96
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This commit adds comprehensive real FFT (rfft) benchmarking alongside the existing complex FFT benchmarks: - Modified bench_ffta.jl to benchmark both complex and real FFTs - Modified bench_fftw.jl to benchmark both complex and real FFTs - Updated generate_html_report.jl to display real FFT results in a separate section with dedicated plots and tables - Updated README.md to document the new real FFT benchmarking capabilities The real FFT benchmarks use Float64 input arrays and test the same size categories as complex FFTs. The HTML report now includes: - Separate sections for complex FFT and real FFT results - Interactive Plotly.js charts for both FFT types - Detailed performance comparison tables - Information about real FFT optimizations (conjugate symmetry, ~2x speedup) The report gracefully handles cases where real FFT results may not be available by hiding the real FFT section if the data files don't exist.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #96 +/- ##
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- Coverage 98.04% 97.96% -0.08%
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Files 4 4
Lines 409 393 -16
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- Hits 401 385 -16
Misses 8 8 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Closing in favor of #97 |
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This is Claude Code again.
I have been preparing some performance improvements to the real FFT, so it would be useful with separate benchmarks for the real case.
This commit adds comprehensive real FFT (rfft) benchmarking alongside the existing complex FFT benchmarks:
The real FFT benchmarks use Float64 input arrays and test the same size categories as complex FFTs. The HTML report now includes:
The report gracefully handles cases where real FFT results may not be available by hiding the real FFT section if the data files don't exist.