~/talk

Superfusion: Eliminating Intermediate Data Structures via Inductive Synthesis

name:Ruyi Ji
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slides:none on file

Superfusion uses inductive program synthesis to remove intermediate collections by synthesizing a small compression function that maps packed structures to scalars, generating per-hole input/output examples and delegating hole filling to program‑by‑example solvers. The implementation, SuFu, synthesizes compression functions by enumeration, rewrites sketches into scalar code, and runs on a 290‑task benchmark, solving 264 out of 290 tasks, outperforming rewrite‑based fusion and matching many specialized restructuring tools; artifacts and evaluation data are available with the paper.

AI-written summary · about

  1. 0:00Introduction
  2. 1:07Divide and conquer synthesis
  3. 4:59Synthesis problem definition
  4. 7:07AutoLifter decomposition
  5. 10:59AutoLifter generalizations
  6. 13:50Summary and Q&A
  7. 19:12Superfusion goals
  8. 24:07Eliminating intermediate structures
  9. 27:40Compression function example
  10. 31:30Divide and conquer via Sufu
  11. 33:37Native interpreter synthesis
  12. 35:24Sufu evaluation summary
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