leonarski_f
cc925b2668
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NUMA CPU/memory pinning is no longer worthwhile: the FPGA DMA buffers are placed device-local by the kernel (dma_alloc_coherent), the big RAM ring buffer is random-access (first-touch handles placement), and GPU work is already spread across all visible devices. So drop the pinning entirely and with it libnuma. - Delete NUMAHWPolicy; the only concern worth keeping - GPU selection - is done directly via pin_gpu() (round-robin over visible GPUs) in the indexer pool and the Lite analysis threads. CPU-only threads (FPGA acquire/pedestal/summation/frame-transform) no longer bind anything. - Drop get_gpu_numa_node() (sysfs lookup) - only SelectGPUAndItsNUMA used it. - numa_policy broker setting is deprecated and ignored (kept in the API for backward compatibility; warns once on startup). - Remove NUMA_LIBRARY / numa.h / numaif.h detection from CMake. - Docs: drop the NUMA dependency, remove the numa_policy config example, and document running multiple brokers on disjoint GPUs via CUDA_VISIBLE_DEVICES. - Remove NUMA_GPU_REVIEW.md (the planning note; this work is now done). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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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.
Software dependencies
Required:
- C++20 compiler and C++20 standard library; recommended GCC 11+ or clang 14+ (Intel OneAPI, AMD AOCC)
- CMake version 3.21 or newer + GNU make tool
- zlib compression library
- EIGEN library (only on a compilation system)
- HDF5 library version 1.10 or newer - see github.com/HDFGroup/hdf5
- TIFF library - see gitlab.com/libtiff/libtiff
- JPEG library (preferably jpeg-turbo) - see github.com/libjpeg-turbo/libjpeg-turbo
Optional:
- CUDA compiler version 12.7 or newer - required for MX fast feedback indexer
- FFTW library - for indexing if GPU/CUDA is absent
- Node.js - to make frontend
- Qt version 6 (for jfjoch_viewer)
Automatically downloaded by CMake and statically linked:
- SLS Detector Package - see github.com/slsdetectorgroup/slsDetectorPackage
- Zstandard (Facebook) - see github.com/facebook/zstd
- Cpp-http library for HTTP server and client - see github.com/yhirose/cpp-httplib
- Fast feedback indexer (Hans-Christian Stadler, PSI) - see github.com/paulscherrerinstitute/fast-feedback-indexer
- Catch2 testing library - see github.com/catchorg/Catch2
- Ceres Solver library for least square optimization - see [http://ceres-solver.org/]
- Spdlog logging library - see github.com/gabime/spdlog Please follow the link provided above to check for LICENSE file. Building code with dependencies above requires access from the build system to github.com.
Directly included in the repository:
- JSON parser/writer from N. Lohmann - see github.com/nlohmann/json
- Xilinx arbitrary precision arithmetic headers - see github.com/Xilinx/HLS_arbitrary_Precision_Types
- Bitshuffle filter from K. Masui - see github.com/kiyo-masui/bitshuffle
- Fast replacement for Bitshuffle pre-compression filter (Kal Cutter, DECTRIS) - see github.com/kalcutter/bitshuffle
- Tinycbor (Intel) - see github.com/intel/tinycbor
- LZ4 compression by Y.Collet - see github.com/lz4/lz4
- ZeroMQ library (through slsDetectorPackage) - see github.com/zeromq/libzmq
- Base64 decoder/encoder - see gist.github.com/tomykaira
- GEMMI library by Global Phasing - see github.com/project-gemmi/gemmi
For license check LICENSE file in respective directory