Add f32 N=16 radix-4 codelet for +18% performance improvement#59
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Add f32 N=16 radix-4 codelet for +18% performance improvement#59
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- Implement radix-4 algorithm (2 stages vs 4 for radix-2) - Use hardcoded twiddle factors for inline computation - Add shared $fft_dispatch for FFT/IFFT consistency - Update README with N=16 benchmark results - Document Experiment 44 in optimization log
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Adds a radix-4 N=16 codelet for the f32 complex FFT module, improving performance by 18% and closing the gap with f64 from 20% to 5%.