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* 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>
25 lines
1.2 KiB
C++
25 lines
1.2 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <string>
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// Keeping a GPU's worker threads on the socket the card hangs off, on a machine with more than one
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// NUMA node, so the pinned host buffers they allocate and the copies to the card stay on that
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// socket's memory controller and PCIe root. Read from /sys - no libnuma - and Linux only: elsewhere,
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// and on a machine with a single node, every call is a no-op.
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// The NUMA node of a PCI device, from its bus id as CUDA gives it ("0000:41:00.0"); -1 where it is
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// not known or the machine has a single node.
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int NumaNodeOfPciDevice(const std::string &pci_bus_id);
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// Restrict the calling thread to the CPUs of `node` that the process may run on. Nothing happens for
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// node < 0, or where that would leave the thread no CPU.
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void PinThreadToNumaNode(int node);
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// Give the calling thread back the CPUs the process started with. A thread inherits the affinity of
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// the thread that creates it, so a thread pool first reached from a pinned worker would otherwise
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// run every later parallel pass of the process on one socket.
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void RestoreThreadAffinity();
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