leonarski_f
ec8a45dc09
cuFFT is the only CUDA component linked dynamically (cudart and the
fast-feedback indexer are static), so the prior Windows installer would
fail to launch the GPU path on a host without a CUDA toolkit. Ship
cufft64_*.dll next to the viewer (CUDA 13 keeps it in bin/x64, earlier
toolkits in bin); the DLL is self-contained, so the installed app needs
only an NVIDIA driver.
Tag the variant where it matters and nowhere else: the installer
filename (-cuda<major> / -cpu) and the Add/Remove Programs entry
("Jungfraujoch (CUDA)" / "(CPU)") advertise it, while the install folder
and Start Menu group stay plain "Jungfraujoch" -- the CUDA build is a
strict superset, so the two variants share a location and replace each
other.
Docs: SOFTWARE.md + JFJOCH_VIEWER.md.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2.2 KiB
Software requirements
Operating system
Recommended operating system is Red Hat Enterprise Linux (RHEL) / Rocky Linux versions 8 or 9. For this operating systems we provide RPMs with pre-built binaries to simplify deployment. On 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 with providing some packages from external repositories.
The desktop viewer jfjoch_viewer (only) can additionally be built on Windows 11 with Visual
Studio 2026 (MSVC), CUDA 13.3 and Qt 6.11 — see
jfjoch_viewer ▸ Building from source on Windows.
The Windows installer bundles the Qt runtime, and on the CUDA build the CUDA runtime (cuFFT) as
well, so end users need neither Qt nor a CUDA toolkit installed — only an NVIDIA GPU driver for the
GPU path. The rest of Jungfraujoch is Linux-only.
Software dependencies
Required:
- C++20 compiler and C++20 standard library; recommended GCC 11+ or clang 14+ (Intel OneAPI, AMD AOCC)
- CMake version 3.26 or newer + a build tool (GNU make or Ninja)
- zlib compression library
- Eigen (header-only linear algebra library), version 3.4 or newer
HDF5, libtiff and libjpeg-turbo used to be required system packages; they are now downloaded and built automatically by CMake (see the note below), so they no longer need to be installed.
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)
Many further dependencies (spdlog, Zstandard, HDF5, slsDetectorPackage, libzmq, libtiff,
libjpeg-turbo, Eigen, Ceres, the fast feedback indexer, Catch2, ...) are downloaded automatically
by CMake and statically linked; building therefore requires network access on the first configure.
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_NOTICES.md and the licenses/ directory.