The CPU-only image loop is DRAM-bound on 16M frames: decode, preprocess, the adaptive finder's plain ring pass and FlagRings each streamed the whole frame through memory. - JFJochDecompressHperfBlocks hands each decoded bitshuffle block to a callback; with no output buffer the block is unshuffled into a reused block-sized scratch (JFJochDecompressBlocks). - MXAnalysisWithoutFPGA::PreprocessCPU preprocesses each block into the int32 buffer (ImagePreprocessorCPU::AnalyzeBlock) and, when the fused CPU finder runs, puts it through the plain ring pass + fused azint (AdaptiveSpotFinderCPU::AccumulateRingsBlock) while it is in cache. Detect() then starts from those sums. The per-worker decompression buffer is no longer allocated for bitshuffled data. - FlagRings becomes FlagRow, called by DetectAt's first pass for row y+NBX just before that row enters the vertical sums; first_pass_needed is marked from each row's candidates at the same point. Exact: blocks arrive in pixel order, so the float azint sums see the same pixels in the same order; the per-pixel expressions are unchanged; everything else is integer. p.hkl, p.mtz, p_P1.mtz and p_unmerged.mtz byte-identical to rc173 on myob, cytc, lyso, sparse (CPU-only build), GPU myob identical (the GPU path does not take this route). CPU-only, 32 workers, under the gpulock on a shared (loaded) machine, base -> fused, two rounds (second in reversed order): myob 155.9 -> 97.7 s, 139.9 -> 88.1 s (loop 46.1 -> 26.8 s/pass; user 3690 -> 2221 s) cytc 220.8 -> 156.6 s, 216.6 -> 155.1 s (user 5160 -> 4128 s) lyso 134.5 -> 123.3 s, 69.5 -> 64.8 s peak RSS myob 15.2 -> 10.8 GB, cytc 12.6 -> 10.4 GB, lyso 7.0 -> 6.7 GB Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01D1G8gJVAy6gp1K5Dz3NE5C
22 lines
1.1 KiB
C++
22 lines
1.1 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 "ImagePreprocessor.h"
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class ImagePreprocessorCPU : public ImagePreprocessor {
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std::vector<bool> mask_1bit;
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template <class T> void AnalyzeBlock(ImagePreprocessorBuffer &processed_image, size_t first, const uint8_t *input,
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size_t n, T err_value, T sat_value, ImageStatistics &stats);
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public:
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ImagePreprocessorCPU(const DiffractionExperiment &experiment, const PixelMask &mask);
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ImageStatistics Analyze(ImagePreprocessorBuffer &processed_image, const uint8_t *decompressed_image, CompressedImageMode image_mode) override;
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// Analyze for the n pixels from pixel `first` on, whose values `input` holds, adding to stats. The
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// blocks of an image can come in any order and together give Analyze()'s result.
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void AnalyzeBlock(ImagePreprocessorBuffer &processed_image, size_t first, const uint8_t *input, size_t n,
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CompressedImageMode image_mode, ImageStatistics &stats);
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};
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