The offline worker threads built MXAnalysisWithoutFPGA without selecting a CUDA
device, so all per-image preprocessing/spot-finding/azimuthal integration ran on
GPU 0 (only the indexer pool was distributed). Add pin_gpu() to CUDAWrapper - a
process-wide round-robin counter (counter++ % get_gpu_count(), no thread id, no-op
without a GPU, honours CUDA_VISIBLE_DEVICES) - and call it once per worker before
building the analysis resources so their CUDA streams/engines land on distinct
devices.
Also add NUMA_GPU_REVIEW.md: a working note mapping ImageBuffer/NUMAHWPolicy/GPU
dispatch with goals and a staged plan (multi-broker GPU isolation via
CUDA_VISIBLE_DEVICES, dropping libnuma, reassessing NUMA pinning for the FPGA path).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
leonarski_fandClaude Opus 4.8
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