The suite (Appendix B, the short-version table, the overview and distribution
figures) and the timeline endpoint now measure develop d20c4dcd89 with #5964
and #5908 merged. The geometric mean stays 2.9x (2.95); Dump/signed_ints and
Dump/unsigned_ints gain 1.5x and 2.1x from #5964; GetVectorDouble/floats drops
from 10.3x to 7.0x because the old candidate's suite binary happened to compile
that loop faster (a standalone build takes 0.97 ms with both headers).
The timeline endpoint is the 10-27 value scaled by the ratio of the new to the
old candidate, both measured on 10-30, so that it stays comparable with the
other points of the timeline.
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
A post for the documentation (Home > Blog) on how 3.13.0 became faster:
eight themes with the pull requests behind them, the ideas taken from other
libraries, what did not work, how the fast paths are tested, and the
compile-time cost. Every number comes from a run on 2026-10-27 (3.12.0 against
develop plus the open non-draft PRs, Apple M1 Max) or from the linked PR.
- docs/mkdocs/docs/home/blog/how_3_13_0_got_faster.md: the post.
- docs/mkdocs/scripts/figures/perf_blog.py: draws its 12 figures (overview,
eight timeline panels, the SWAR test, the cliffs, json_view throughput) as
inline SVGs in the nj-charts style; data/perf_timeline.csv holds the
timeline.
- tests/benchmarks/history: history.cpp and history.py time one fixed program
against the header of every commit that changed it, interleaved, and write
one CSV row per commit with its PR. The timeline of the post comes from it.
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
Niels Lohmann