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)
48 lines
3.0 KiB
Markdown
48 lines
3.0 KiB
Markdown
# Software requirements
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## Operating system
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Recommended operating system is Red Hat Enterprise Linux (RHEL) / Rocky Linux versions 8 or 9.
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For these operating systems we provide RPMs with pre-built binaries to simplify deployment.
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On an experimental basis we also build repositories for Ubuntu 22.04 and 24.04.
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Running Jungfraujoch on Red Hat Enterprise Linux 7 is currently not tested and not recommended,
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but likely possible by providing some packages from external repositories.
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Two programs additionally run on **Windows 11**: the desktop viewer `jfjoch_viewer`, shipped as a
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pre-built installer, and [`rugnux`](RUGNUX.md), the offline analysis CLI, shipped as a `.zip`. Both
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can be built from source with Visual Studio 2026 (MSVC) and CUDA 13.3 — the viewer additionally
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needs Qt 6.11; see
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[jfjoch_viewer ▸ Building from source on Windows](JFJOCH_VIEWER.md#building-from-source-on-windows).
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The Windows artefacts bundle the Qt runtime (viewer only) and, on the CUDA builds, the cuFFT DLL, so
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end users need neither Qt nor a CUDA toolkit installed — only an NVIDIA GPU driver for the GPU path.
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On Linux the portable archives link CUDA entirely statically and so need nothing but the driver.
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`rugnux` is also built for **64-bit Arm Linux** (GH200, DGX Spark). The rest of Jungfraujoch is
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Linux-only and x86-64-only. See [Release contents](RELEASE_CONTENTS.md) for the CPU baseline and
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CUDA requirements of each released package.
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## Software dependencies
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Required:
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* C++20 compiler and C++20 standard library; recommended GCC 11+ or clang 14+ (Intel OneAPI and AMD AOCC also work)
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* CMake version 3.26 or newer + a build tool (GNU make or Ninja)
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HDF5, libtiff, libjpeg-turbo, zlib and Eigen used to be required system packages; they are now
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downloaded and built automatically by CMake (see the note below), so none of them needs to be
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installed. Beyond the optional dependencies listed below, no third-party library has to be provided by the host any more.
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Optional:
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* CUDA compiler version 12.8 or newer - required for the MX fast feedback indexer and GPU analysis
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* FFTW library - for indexing if GPU/CUDA is absent (also auto-downloaded by CMake)
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* Node.js - to build the frontend
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* Qt version 6 (for jfjoch_viewer)
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* OpenSSL 3.0 or newer - required to build jfjoch_viewer on Linux, where the fetched libcurl uses
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it for TLS; a build on OpenSSL 1.1 fails in libcurl
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Many further dependencies (spdlog, Zstandard, HDF5, slsDetectorPackage, libzmq, libtiff,
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libjpeg-turbo, Ceres, the fast feedback indexer, Catch2, ...) are downloaded automatically
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by CMake and statically linked; building therefore requires network access on the first configure.
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zlib (as zlib-ng in its zlib-compatible mode) and Eigen are among them: a copy already on the
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machine is used instead if the configure is given `-DZLIB_ROOT=<prefix>` or `-DEigen3_DIR=<dir>`.
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Others are vendored directly in the source tree. The complete list of third-party components, with
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copyright holders, licenses and verbatim license texts, is in
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[Third-party software notices](THIRD_PARTY_NOTICES.md) and the `licenses/` directory.
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