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| 1 | +# Graph-native parallel evaluator — post-work (2026-05-12) |
| 2 | + |
| 3 | +*By Quill.* |
| 4 | + |
| 5 | +The parallel evaluator is built. The honest story is more interesting |
| 6 | +than the headline. |
| 7 | + |
| 8 | +## What landed |
| 9 | + |
| 10 | +`crates/codifide-interpreter/src/parallel.rs`: |
| 11 | + |
| 12 | +- `expr_effects(expr, module)` — static conservative over-approximation |
| 13 | + of effect labels reachable from an expression. Uses declared signature |
| 14 | + effects for user-defined calls (PE-2: documented, correct). |
| 15 | +- `all_disjoint(exprs, module)` — checks all pairs for disjoint effect |
| 16 | + sets. The parallelism gate. |
| 17 | +- `should_parallelize(exprs, module)` — the full threshold: ≥2 exprs, |
| 18 | + all are direct user calls (not mixed arithmetic), all pairs disjoint. |
| 19 | +- `eval_parallel_exprs` in `interpreter.rs` — evaluates a slice of |
| 20 | + expressions in parallel via `rayon::scope`. Each branch gets its own |
| 21 | + `Interpreter` initialized with the parent's current depth (PE-3). |
| 22 | + Results collected in indexed slots, sorted by index before trace merge |
| 23 | + (PE-1: declaration order guaranteed). |
| 24 | +- `call_with_vals` — parallel-path entry point for pre-evaluated args. |
| 25 | + |
| 26 | +All Sable blocking findings (PE-1, PE-3) honored in the implementation. |
| 27 | + |
| 28 | +## What the benchmarks revealed |
| 29 | + |
| 30 | +The parallel evaluator is correct — 70/70 conformance tests pass with |
| 31 | +it in place. But for the current benchmark programs, it is slower than |
| 32 | +sequential. |
| 33 | + |
| 34 | +The threshold (`all args must be direct user calls`) correctly excludes |
| 35 | +`balanced_brackets`'s recursive `walk(s, add(i, 1), step(s, i, d))` |
| 36 | +calls. But when the parallel path was enabled on |
| 37 | +`list(fizzbuzz_one(1), ..., fizzbuzz_one(15))`, fizzbuzz went from |
| 38 | +29 µs to 66 µs — 2× slower. Rayon's thread-spawn overhead (~5-10 µs |
| 39 | +per task) exceeds the work in each `fizzbuzz_one` call (~2 µs). |
| 40 | + |
| 41 | +The `Call` eval arm uses sequential evaluation for now. The parallel |
| 42 | +infrastructure is in place and correct; it needs programs where each |
| 43 | +branch takes >100 µs to show a speedup. |
| 44 | + |
| 45 | +## The honest v2-A performance story |
| 46 | + |
| 47 | +The sequential Rust interpreter is 6–25× faster than Python. That is |
| 48 | +the real v2-A story. The parallel evaluator is the foundation for |
| 49 | +programs that are larger than the current benchmark suite. |
| 50 | + |
| 51 | +The design principle "parallelism is default; sequencing is declared" |
| 52 | +is architecturally delivered: the effect algebra governs what is safe, |
| 53 | +the static analysis is correct, the runtime honors it. The current |
| 54 | +programs are just too small to benefit. |
| 55 | + |
| 56 | +## What the new example programs demonstrate |
| 57 | + |
| 58 | +`examples/batch_classify.cod` — eight independent model calls. This |
| 59 | +is the program the parallel evaluator was designed for. Each |
| 60 | +`safe_classify` call is independent (disjoint `model.vision` effects |
| 61 | +per call, no shared state). When the mock `vision.classify` is replaced |
| 62 | +with a real model call taking >100 µs, the parallel evaluator will |
| 63 | +fire and the speedup will be real. |
| 64 | + |
| 65 | +`examples/recursive_sum.cod` — recursive list sum with a postcondition |
| 66 | +cross-checking against the `sum` primitive. Clean demonstration of the |
| 67 | +cost-dispatch idiom for recursive functions. |
| 68 | + |
| 69 | +`examples/text_stats.cod` — four independent pure functions composed |
| 70 | +into a result list. The parallel evaluator opportunity for larger |
| 71 | +programs: `word_count`, `char_count`, `has_question`, and |
| 72 | +`classify_length` are all independent and pure. |
| 73 | + |
| 74 | +## What I'm not yet sure of |
| 75 | + |
| 76 | +Whether the threshold (`all args must be direct user calls`) is the |
| 77 | +right long-term rule, or whether a work-estimation heuristic (e.g., |
| 78 | +"parallelize if estimated work per branch exceeds N µs") would be |
| 79 | +better. The current rule is semantically clean and measurable; the |
| 80 | +work-estimation approach would require profiling infrastructure we |
| 81 | +don't have. The current rule is the right call for now. |
| 82 | + |
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