leonarski_f
6a21d453ba
None of this has been built on a Mac - there is none yet. It is the list a read-only audit of the
viewer/rugnux subtree produced, plus a serial -fsyntax-only pass of every reachable .cpp with
clang 16 + libc++ on Linux, which found exactly one error (the first item).
- JFJochDatasetInfoChartView: std::vector<fftwf_complex> does not compile with libc++, whose
construct_at refuses an array element type (float[2]). Use std::vector<std::complex<float>> and
the reinterpret_cast every other FFTW call site already uses.
- libcurl: GSSAPI off on Linux, and neither TLS nor GSSAPI on macOS. The viewer never sets
CURLOPT_HTTPAUTH, so Negotiate was dead weight that cost a krb5-devel build dependency; on macOS
curl's FindGSS refuses the system Heimdal outright, and with Secure Transport gone from curl
(8.15) TLS would mean a Homebrew OpenSSL - the only host library a Mac build would need.
Linux keeps OpenSSL. CURL_USE_GSSAPI is forced OFF rather than left unset so an existing build
tree drops its cached ON.
- libjpeg-turbo ExternalProject: CMAKE_SYSTEM_NAME/PROCESSOR were forwarded unconditionally, which
puts even a native sub-build into cross-compiling mode, and CMAKE_OSX_ARCHITECTURES / SYSROOT /
DEPLOYMENT_TARGET were not forwarded at all. Now the same rule the zlib-ng sub-build follows.
- ShadowAccumulatorGPU.cu was added on the JFJOCH_USE_CUDA option (default ON) instead of
JFJOCH_CUDA_AVAILABLE like every other .cu, so a machine without nvcc got a CUDA source in a
target with no CUDA language.
- CMAKE_OSX_DEPLOYMENT_TARGET defaults to 12.0 (overridable). Left unset, CMake takes the build
machine's OS version and the .dmg starts nowhere older.
- Standard headers that were only arriving transitively (<chrono>, <cmath>, <limits>, <cstring>,
<atomic>, <thread>, <string>); newer libc++ releases keep removing such transitive includes.
Checked: the seven changed sources pass clang 16 + libc++ -fsyntax-only. The CMake changes are
not configured or built.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015eAE2K7i5JGDwgwifiCfuA
(cherry picked from commit 5a7282759a)
3.0 KiB
Software requirements
Operating system
Recommended operating system is Red Hat Enterprise Linux (RHEL) / Rocky Linux versions 8 or 9. For these operating systems we provide RPMs with pre-built binaries to simplify deployment. On an experimental basis we also build repositories for Ubuntu 22.04 and 24.04.
Running Jungfraujoch on Red Hat Enterprise Linux 7 is currently not tested and not recommended, but likely possible by providing some packages from external repositories.
Two programs additionally run on Windows 11: the desktop viewer jfjoch_viewer, shipped as a
pre-built installer, and rugnux, the offline analysis CLI, shipped as a .zip. Both
can be built from source with Visual Studio 2026 (MSVC) and CUDA 13.3 — the viewer additionally
needs Qt 6.11; see
jfjoch_viewer ▸ Building from source on Windows.
The Windows artefacts bundle the Qt runtime (viewer only) and, on the CUDA builds, the cuFFT DLL, so
end users need neither Qt nor a CUDA toolkit installed — only an NVIDIA GPU driver for the GPU path.
On Linux the portable archives link CUDA entirely statically and so need nothing but the driver.
rugnux is also built for 64-bit Arm Linux (GH200, DGX Spark). The rest of Jungfraujoch is
Linux-only and x86-64-only. See Release contents for the CPU baseline and
CUDA requirements of each released package.
Software dependencies
Required:
- C++20 compiler and C++20 standard library; recommended GCC 11+ or clang 14+ (Intel OneAPI and AMD AOCC also work)
- CMake version 3.26 or newer + a build tool (GNU make or Ninja)
HDF5, libtiff, libjpeg-turbo, zlib and Eigen used to be required system packages; they are now downloaded and built automatically by CMake (see the note below), so none of them needs to be installed. Beyond the optional dependencies listed below, no third-party library has to be provided by the host any more.
Optional:
- CUDA compiler version 12.8 or newer - required for the MX fast feedback indexer and GPU analysis
- FFTW library - for indexing if GPU/CUDA is absent (also auto-downloaded by CMake)
- Node.js - to build the frontend
- Qt version 6 (for jfjoch_viewer)
- OpenSSL 3.0 or newer - required to build jfjoch_viewer on Linux, where the fetched libcurl uses it for TLS; a build on OpenSSL 1.1 fails in libcurl
Many further dependencies (spdlog, Zstandard, HDF5, slsDetectorPackage, libzmq, libtiff,
libjpeg-turbo, Ceres, the fast feedback indexer, Catch2, ...) are downloaded automatically
by CMake and statically linked; building therefore requires network access on the first configure.
zlib (as zlib-ng in its zlib-compatible mode) and Eigen are among them: a copy already on the
machine is used instead if the configure is given -DZLIB_ROOT=<prefix> or -DEigen3_DIR=<dir>.
Others are vendored directly in the source tree. The complete list of third-party components, with
copyright holders, licenses and verbatim license texts, is in
Third-party software notices and the licenses/ directory.