~/talk

A Forest of Levers: The Performance of Orchard

Talkat Zcon3 2022 · 2022-08-07..08-09· [zero-knowledge-proofs, web-performance]
links:none on file
slides:none on file

Focuses on reducing verifier time and proof size for Orchard by using Halo 2 primitives, floor planning and gadget/chip abstractions. Circuit uses degree bound 9, 192 constraints and 10 advice columns; selector combining compresses ~40–50 selectors to ~15 and query-set pruning removes five query sets. API batches roughly ~100 inversions into a single inversion, and region-based floor planner packs merkle hashing across chips. Result: two-action Orchard proves in ~1.5s on an M1 with a base proof of ~2.7KB + ~2.2KB per action, improving prover speed and verifier cost. Halo 2, regions and chips

AI-written summary · about

  1. 0:00Intro
  2. 0:34What does "performance" mean? Provertime
  3. 3:36In one slide: Halo 2
  4. 5:47PLONK-style R1CS
  5. 6:34PLONK-style circuits - Querying cells
  6. 10:24How circuits become proofs in Halo 2
  7. 12:29What affects performance?
  8. 14:57Circuit structure - Rows vs Columns
  9. 18:04Circuit structure - Query optimisations
  10. 21:56Circuit structure - Degree bound
  11. 24:50API design - Regions
  12. 27:59API design - Gadgets and chips
  13. 35:01API design - Other affordances
  14. 38:36Feedback mechanisms
  15. 41:12Floor planning - Region layout packing
  16. 42:38Selector-combining optimisation
  17. 44:55Prover pipelining
  18. 47:50Benchmarks!
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