#!/usr/bin/env python3 """Five interleaved L80 near-ready runs per stratum/worker vs b96dd73.""" from __future__ import annotations import json import os import re import statistics import subprocess import time from pathlib import Path ROOT = Path(__file__).resolve().parents[4] OUT = ROOT / "Saved/Linux/l130/timing" PASS_ID = int(os.environ.get("VOXELFORGE_L130_TIMING_PASS", "1")) REPLICATE_FIRST = (PASS_ID - 1) * 5 + 1 DATA = ROOT / "Standalone/data/owner_world.json" BINARIES = { "b96dd73": ROOT / "Saved/Linux/l125/bin/VoxelForgeCoreHeadless-l125-clang", "L130": ROOT / "Saved/Linux/l130/bin/VoxelForgeCoreHeadless-l130-clang", } CAMERAS = { 0: (8.0, 16.0, -372.2626953125), 1: (25.8369140625, 3.19921875, -737.0), 2: (19.166015625, -14.2001953125, -753.3740234375), 3: (-20.0625, -5.068359375, -900.353515625), } PIPELINE_RE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M) FIELDS_RE = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)") NEAR_RE = re.compile( r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) cold_ready_s=([0-9.]+)$", re.M) def run(strate: int, workers: int, version: str, phase: str, replicate: int) -> dict: OUT.mkdir(parents=True, exist_ok=True) pass_suffix = "" if PASS_ID == 1 else f"-p{PASS_ID}" label = f"s{strate}-w{workers}-{version}-{phase}{replicate}-l130-v227{pass_suffix}" log = OUT / f"{label}.log" camera = ",".join(f"{value:.12f}" for value in CAMERAS[strate]) + ",0,0" command = ["taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--", "timeout", "1740s", str(BINARIES[version]), str(DATA), "--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline", f"--workers={workers}", "--clip-radius=3", "--max-clip-level=8", "--max-level=8", f"--camera={camera}", "--profile-lod-work", "--stream-scheduler-policy=3"] started = time.monotonic() with log.open("w", encoding="utf-8") as output: result = subprocess.run(command, cwd=ROOT, stdout=output, stderr=subprocess.STDOUT, check=False, timeout=1740) content = log.read_text(encoding="utf-8", errors="replace") pipeline, near = PIPELINE_RE.search(content), NEAR_RE.search(content) if result.returncode or pipeline is None or near is None: raise SystemExit(f"timing run failed: {log}; exit={result.returncode}") fields = dict(FIELDS_RE.findall(pipeline.group(1))) row = {"strate": strate, "workers": workers, "version": version, "phase": phase, "replicate": replicate, "exit_code": result.returncode, "wall_s": round(time.monotonic() - started, 3), "lod02_ready_s": float(near.group(3)), "whole_view_ready_s": float(fields["whole_view_ready"].removesuffix("s")), "log": str(log.relative_to(ROOT))} print("[L130TimingRun] " + json.dumps(row, sort_keys=True), flush=True) return row def main() -> int: if any(not path.is_file() for path in (DATA, *BINARIES.values())): raise SystemExit("missing L130 timing input") OUT.mkdir(parents=True, exist_ok=True) load_1m = __import__("os").getloadavg()[0] def cpu_idle(interval: float = 2.0) -> float: def totals() -> tuple[int, int]: fields = Path("/proc/stat").read_text().splitlines()[0].split() values = [int(value) for value in fields[1:]] return sum(values), values[3] + (values[4] if len(values) > 4 else 0) before = totals() time.sleep(interval) after = totals() return 100.0 * (after[1] - before[1]) / max(1, after[0] - before[0]) idle = cpu_idle() pass_suffix = "" if PASS_ID == 1 else f"-p{PASS_ID}" (OUT / f"machine-load-v227{pass_suffix}-before.txt").write_text( f"1-minute load: {load_1m:.2f}\n2-second CPU idle: {idle:.1f}%\n") print(f"[L130TimingGate] load_1m={load_1m:.2f} cpu_idle_2s={idle:.1f}%", flush=True) if load_1m >= 0.9 or idle < 97.0: raise SystemExit("timing refused: machine is above the quiet-load gate") rows = [] for strate in range(4): for workers in (8, 12): for version in BINARIES: run(strate, workers, version, "warmup", 0) for replicate in range(REPLICATE_FIRST, REPLICATE_FIRST + 5): order = tuple(BINARIES) if replicate % 2 else tuple(reversed(BINARIES)) for version in order: rows.append(run(strate, workers, version, "measured", replicate)) (OUT / f"runs-v227{pass_suffix}-partial.json").write_text( json.dumps(rows, indent=2) + "\n", encoding="utf-8") prior_runs = [] if PASS_ID > 1: previous = OUT / ("v227-summary.json" if PASS_ID == 2 else "v227-combined-summary.json") if previous.is_file(): prior_runs = json.loads(previous.read_text(encoding="utf-8")).get("runs", []) all_rows = prior_runs + rows measured_rows = [row for row in all_rows if row["phase"] == "measured"] summary = [] for strate in range(4): for workers in (8, 12): group_size = sum(row["strate"] == strate and row["workers"] == workers for row in measured_rows) // 2 item = {"strate": strate, "workers": workers, "replicates_per_version": group_size} medians = {} for version in BINARIES: group = [row for row in measured_rows if row["strate"] == strate and row["workers"] == workers and row["version"] == version] medians[version] = {} for key in ("lod02_ready_s", "whole_view_ready_s"): values = [row[key] for row in group] medians[version][key] = statistics.median(values) item[f"{version}_{key}_values"] = values item[f"{version}_{key}_median"] = medians[version][key] for key in ("lod02_ready_s", "whole_view_ready_s"): item[f"L130_vs_b96dd73_{key}_delta_pct"] = round( 100.0*(medians["L130"][key]/medians["b96dd73"][key]-1.0), 2) summary.append(item) summary_path = OUT / ("v227-summary.json" if PASS_ID == 1 else f"v227-combined-summary.json") summary_path.write_text(json.dumps( {"runs": all_rows, "summary": summary}, indent=2) + "\n", encoding="utf-8") return 0 if __name__ == "__main__": raise SystemExit(main())