jolt/bench/README.md
Dmitri Sotnikov 7d0b1d5695
Broaden the benchmark suite; add jolt-vs-JVM scorecard (#140)
The ray tracer is compute-bound and the three existing benches only cover
alloc / megamorphic-dispatch / collections. Add three axes the epic needs to
judge itself holistically:

- mono-dispatch: monomorphic protocol dispatch. Its jolt/JVM ratio (~110x) is
  *worse* than megamorphic (~76x) — the JVM inline-caches a runtime-monomorphic
  call site to near-free while jolt does a full registry dispatch (devirt only
  fires on statically-proven receivers). Points at the call-site inline cache.
- mandelbrot: pure float compute, no alloc/dispatch. The floor at ~15x — native
  arith already gets close to the JVM.
- fib: recursion, call + integer-arith overhead.

run.sh gains JVM=1, which runs each bench on JVM Clojure too and prints the
jolt/JVM ratio. collections sized up now that the map is a HAMT (jolt-684u).
README documents the axes and the current scorecard.

Co-authored-by: Yogthos <yogthos@gmail.com>
2026-06-16 14:50:38 +00:00

68 lines
3.7 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# jolt benchmark suite
Benchmarks that isolate the workload axes jolt's optimizing passes target. The
ray tracer (`examples/ray-tracer`) is **float-compute-bound** — its time is
irreducible algorithmic math (hit-testing + transcendentals), and devirt,
allocation removal, and type-proving all measured **flat** on it. So it can't
tell us whether those passes work. These benchmarks make each pass's target
workload the *dominant* cost.
Reference: the cross-language suites these draw from —
[Are We Fast Yet?](https://github.com/smarr/are-we-fast-yet) (Marr et al., DLS '16)
and the [Computer Language Benchmarks Game](https://benchmarksgame-team.pages.debian.net/benchmarksgame/).
The benchmarks are portable Clojure, so they also run on JVM Clojure for an
absolute reference.
## Benchmarks
| Benchmark | Axis | Pass it exercises | Source |
|---|---|---|---|
| `binary-trees` | allocation / GC pressure (escaping short-lived records) | jolt-15jq scalar-replace, jolt-8flj escape analysis | CLBG |
| `dispatch` | polymorphic (**megamorphic**) protocol dispatch | jolt-41m devirt, inline-cache | AWFY-style |
| `mono-dispatch` | **monomorphic** protocol dispatch (devirt/inline-cache *can* fire) | jolt-41m devirt, jolt-ez5h inline-cache | AWFY-style |
| `collections` | persistent map/vector churn (HAMT / 32-way tries) | persistent structures (jolt-684u/0hbr), transients | CLBG k-nucleotide-style |
| `mandelbrot` | pure float compute (tight arith loops, no alloc/dispatch) | jolt-3pl native arith, loop codegen | CLBG |
| `fib` | recursion: function-call + integer-arith overhead | jolt-3pl native arith, jolt-826 small-fn inlining | CLBG |
What the ray tracer does **not** capture and these do: allocation as the
bottleneck (~7% there), megamorphic *and* monomorphic dispatch (its dispatch is
monomorphic and cheap), persistent-collection throughput (it uses fixed records,
no collections in the hot loop), and isolated compute/call overhead.
Planned additions: Richards / DeltaBlue (heavier OO dispatch), NBody (float
control with record state), k-nucleotide proper.
## Holistic scorecard
`JVM=1 bench/run.sh` runs each benchmark on jolt **and** JVM Clojure and prints
the jolt/JVM ratio — the epic's (jolt-ffn) absolute-reference scorecard. As of
the broadening (2026-06-16), ratios cluster by axis:
- **pure compute** (`mandelbrot`) is the floor, ~15× — native arith (jolt-3pl)
already gets jolt closest to the JVM.
- **collections** ~28×, **fib** ~37×.
- **dispatch** ~75× (megamorphic), and `mono-dispatch` is *worse* (~110×): the
JVM inline-caches a runtime-monomorphic call site to near-free, while jolt does
a full registry dispatch regardless (devirt only fires on *statically* proven
receivers, which `reduce` over a vector doesn't give). This is the signal for
the call-site inline cache (jolt-ez5h).
- **allocation** (`binary-trees`) is the widest gap — but also the most inflated
by host memory pressure, so read it as "alloc is the worst axis," not a precise
multiple. Numbers are machine-specific; regenerate with `JVM=1 bench/run.sh`.
## Running
```sh
jpm build && export PATH="$PWD/build:$PATH"
bench/run.sh # whole-program optimization on (default)
JOLT_WHOLE_PROGRAM=0 bench/run.sh # WP off, to measure what WP buys
bench/run.sh binary-trees 16 # one benchmark, custom size
```
## A/B against a change
To measure a pass, run the suite on `main`, then on the branch, back to back
(same machine, quiet) — the protocol used for `test/bench/core-bench.janet` and
the ray tracer. Each benchmark prints `runs: [...]` and `mean: N ms`; compare
the means. A pass is worth landing when it moves a benchmark whose axis it
targets, even if the ray tracer stays flat.