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Malte Ubl 10b246d604 Add a runtime benchmark suite with Node-verified A/B timing
Fourteen application-shaped workloads (JSON, regex, parsing and class
dispatch, sorting, rendering, collection pipelines, async fan-out,
Map/Set graphs, allocation, numeric kernels, exceptions, CSV, and the
two multi-module build benchmark apps on large inputs).

bench:runtime builds each workload with one or two checkouts, refuses to
time any executable whose stdout, stderr, or exit status differs from
Node, interleaves baseline and candidate launches, and reports medians
with bootstrap 95% confidence intervals, binary size, and peak RSS.
2026-10-08 09:38:23 -07:00

75 lines
2.4 KiB
TypeScript

// Integer- and float-heavy kernels: sieve, hashing, matrix multiply on
// number[][], histogram on plain arrays, and a Float64Array smoothing pass.
function sieve(limit: number): number {
const composite: boolean[] = new Array<boolean>(limit + 1).fill(false);
let count = 0;
for (let i = 2; i <= limit; i++) {
if (composite[i]) continue;
count++;
for (let j = i * i; j <= limit; j += i) composite[j] = true;
}
return count;
}
function fnv(values: number[]): number {
let h = 2166136261;
for (let i = 0; i < values.length; i++) {
h ^= values[i]! & 0xff;
h = Math.imul(h, 16777619) >>> 0;
}
return h;
}
function matmul(a: number[][], b: number[][], n: number): number[][] {
const c: number[][] = [];
for (let i = 0; i < n; i++) {
const row: number[] = new Array<number>(n).fill(0);
const ai = a[i]!;
for (let k = 0; k < n; k++) {
const aik = ai[k]!;
const bk = b[k]!;
for (let j = 0; j < n; j++) row[j] = row[j]! + aik * bk[j]!;
}
c.push(row);
}
return c;
}
const scale = Number(process.argv[2] ?? "1");
const primes = sieve(Math.floor(2000000 * scale));
const data: number[] = [];
let x = 1;
for (let i = 0; i < Math.floor(1000000 * scale); i++) {
x = (Math.imul(x, 48271) + 11) & 0x7fffffff;
data.push(x % 1000);
}
let hash = 0;
for (let r = 0; r < 4; r++) hash = (hash + fnv(data)) >>> 0;
const histogram: number[] = new Array<number>(100).fill(0);
for (let i = 0; i < data.length; i++) {
const bucket = data[i]! % 100;
histogram[bucket] = histogram[bucket]! + 1;
}
const n = Math.floor(120 * Math.sqrt(scale));
const a: number[][] = [];
const b: number[][] = [];
for (let i = 0; i < n; i++) {
const ra: number[] = [];
const rb: number[] = [];
for (let j = 0; j < n; j++) {
ra.push(((i * j) % 7) - 3);
rb.push(((i + j) % 5) - 2);
}
a.push(ra);
b.push(rb);
}
const c = matmul(a, b, n);
let trace = 0;
for (let i = 0; i < n; i++) trace += c[i]![i]!;
const signal = new Float64Array(data.length);
for (let i = 0; i < data.length; i++) signal[i] = data[i]! / 7;
let smooth = 0;
for (let pass = 0; pass < 3; pass++) {
for (let i = 1; i < signal.length - 1; i++) signal[i] = (signal[i - 1]! + signal[i]! * 2 + signal[i + 1]!) / 4;
}
for (let i = 0; i < signal.length; i += 1000) smooth += signal[i]!;
console.log("primes", primes, "hash", hash, "hist", histogram[0], histogram[99], "trace", trace, "smooth", smooth.toFixed(6));