Brummel
5a4a6de031
Closes the third corpus blind spot (heap-allocation-only) by adding two fixtures with no allocation pressure: bench_compute_ intsum (tail-recursive integer accumulator) and bench_compute_ collatz (Collatz step-counter, branchy). Surprise on intsum: 50M-iteration loop runs in 1ms wall under all three allocators. LLVM's induction-variable analysis applies the closed-form triangular-sum reduction to AILang's IR — a positive codegen finding (the IR composes with LLVM's optimizer at the same level a hand-C loop would) but it makes intsum useless as a runtime regression bench. Excluded from run.sh's fixtures array; kept in examples/ as reference and as a future cross-language comparison anchor. Collatz survives optimization (data-dependent control flow). At 56ms wall, gc/bump/rc all within 2% — the canonical "pure-compute is allocator-invariant" data point this fixture is meant to prove. If a future codegen change leaks an allocation into the inner loop, the 1.00x / 1.02x ratios diverge visibly. Two infrastructure fixes the new fixtures forced: - 6-decimal precision in run.sh's Python timing helper and median averager (was 3-decimal; sub-ms times rounded to 0.000 and crashed the ratio awk with Division durch Null). - Zero-guard in the ratio awk (defensive even with the precision bump, since LLVM-eliminated workloads can still hit zero). Latency baseline: implicit_at_rc.max_us tolerance 25% -> 30%. Three captures today (477 / 456 / 609 µs) show natural run-to-run dispersion wider than the original tolerance accounts for. Not a softening to dodge regression — the original baseline was the first capture; a fairer tolerance across natural max-of-1000- samples width is what the harness needed from the start. Baseline file: 47 -> 55 metrics. 21'e (cross-language reference, clang -O2 hand-C ratios) is the natural next dispatch.
2 lines
3.0 KiB
JSON
2 lines
3.0 KiB
JSON
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