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Bind the Gap: Compiling Real Software to Hardware FFT Accelerators

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name:Luis Ceze
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name:Kevin Lim
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Paper claims a compiler pipeline that automatically maps real C FFT implementations to API‑driven FFT accelerators by resolving four concrete mismatches: code, data, domain, and behavior. It uses neural embeddings to find FFT regions, program synthesis (sketching) to generate data bindings and behavioral conversions, plus range checks to gate offloads. The tool compiles ~25 GitHub FFTs to FFTW, NXP PowerQuad, and FFTa and reports significant speedups, though tiny transforms can slow down due to copy overhead.

AI-written summary · about

  1. 0:00The Accelerator Era
  2. 1:33API-Programmable Accelerators
  3. 2:44FFT Accelerators
  4. 4:16Inflexible Chips: The Downside
  5. 6:14Why so few clones?: Code Mismatch
  6. 6:49Why so few clones?: Data Mismatch
  7. 7:54Why so few clones?: Domain Mismatch
  8. 8:52Why so few clones?: Behaviour Mismatch
  9. 12:01Binding Synthesis
  10. 12:50Range-Check Generation
  11. 13:34Behavioural Synthesis
  12. 14:02Benchmarks
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