v1.0.0-rc.173 (#83)
Build Packages / Create release (push) Successful in 24s
Build Packages / build:viewer:macos-arm64:nocuda (push) Successful in 3m29s
Build Packages / build:rugnux:macos-arm64:nocuda (push) Successful in 2m43s
Build Packages / build:rugnux:linux-aarch64:cuda (push) Successful in 8m27s
Build Packages / build:rugnux:linux-x86_64:cuda (push) Successful in 9m53s
Build Packages / build:viewer:linux-x86_64:nocuda (push) Successful in 9m58s
Build Packages / build:viewer:linux-x86_64:cuda (push) Successful in 11m22s
Build Packages / build:jfjoch:rocky8:nocuda (push) Successful in 13m39s
Build Packages / build:viewer:windows-x86_64:nocuda (push) Successful in 18m37s
Build Packages / build:jfjoch:rocky9:nocuda (push) Successful in 16m32s
Build Packages / build:viewer:windows-x86_64:cuda (push) Successful in 24m11s
Build Packages / HDF5 consumer tests (DIALS, XDS) (push) Successful in 25m30s
Build Packages / build:jfjoch:ubuntu2404:nocuda (push) Successful in 19m3s
Build Packages / build:jfjoch:ubuntu2204:nocuda (push) Successful in 20m23s
Build Packages / build:jfjoch:rocky8:cuda-sls9 (push) Successful in 19m41s
Build Packages / Generate python client (push) Successful in 50s
Build Packages / Build documentation (push) Successful in 1m16s
Build Packages / build:jfjoch:rocky9:cuda-sls9 (push) Successful in 21m0s
Build Packages / build:jfjoch:rocky8:cuda (push) Successful in 18m38s
Build Packages / build:rugnux:windows-x86_64:cuda (push) Successful in 14m33s
Build Packages / build:jfjoch:rocky9:cuda (push) Successful in 17m55s
Build Packages / build:jfjoch:ubuntu2204:cuda (push) Successful in 20m50s
Build Packages / build:jfjoch:ubuntu2404:cuda (push) Successful in 18m38s
Build Packages / Unit tests (push) Successful in 1h46m14s

* jfjoch_broker: Optional per-dataset authentication - statistics, images and plots can require a bearer token, which jfjoch_viewer supports.
* jfjoch_viewer: Dark mode and a theme-matched colour scheme, a magnifier panel, and simpler contrast and background controls.
* Rugnux: Multiple performance improvements on GPU and CPU (CPU-only processing up to 40% faster, faster image decoding on ARM), with unchanged results.
* Rugnux: `--model` rigid-body refinement runs on the GPU, and the model-validation check is faster and more reliable.
* Rugnux: Improved scaling and merging - error model, outlier rejection, absorption correction and French-Wilson amplitudes now agree more closely with XDS and ctruncate.
* Rugnux: Improved integration - radial background on powder and ice rings, crowded rotation data keep their reflections, and CPU-only builds integrate large unit cells as GPU builds do.
* Rugnux: More robust detector geometry - measured beam centre, X-ray bandwidth and goniometer rate, and geometry refinement accepted only on significant evidence.
* Rugnux: Merged files are written in the standard setting, or in the setting of a reference MTZ, structure-factor mmCIF or model, with its free-R flags.
* Rugnux: Richer report - ice and powder rings, further lattices, superstructure candidates and mosaicity, with warnings worded as prompts to check.
* Rugnux: Clear error messages when a data set needs more GPU or host memory than is available.

Reviewed-on: #83
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
This commit was merged in pull request #83.
This commit is contained in:
2026-09-29 15:57:32 +02:00
committed by leonarski_f
parent 6dfe065365
commit 84228bf8be
452 changed files with 23762 additions and 3779 deletions
+16
View File
@@ -4,10 +4,13 @@
#include "SweepLayout.h"
#include <algorithm>
#include <atomic>
#include <cmath>
#include <cctype>
#include <filesystem>
#include <future>
#include <optional>
#include <thread>
#include "../common/JFJochException.h"
#include "../common/Logger.h"
@@ -281,4 +284,17 @@ Layout Place(const std::vector<Frame> &frames, const std::string &logger_name) {
return out;
}
void ForEachInOrder(size_t n, const std::function<void(size_t)> &fn) {
const size_t nthreads = std::min<size_t>(std::max(1u, std::thread::hardware_concurrency()), 8);
std::atomic<size_t> next{0};
std::vector<std::future<void>> futures;
for (size_t t = 0; t < nthreads; t++)
futures.push_back(std::async(std::launch::async, [&] {
for (size_t i = next++; i < n; i = next++)
fn(i);
}));
for (auto &f : futures)
f.get();
}
} // namespace sweep