leonarski_fandClaude Opus 5.5
b6f34db258
The intermittent "out of GPU memory" on the 3600-frame cbf.gz set (about one run in three on a 16 GB card, base included) was caught with allocation backtraces: FitErrorModelGPU's 42.8 MB in MergeAndStats failed while the speculative geometry probe (GPUWorkBeside) held its FFT indexers on the same card. The engine's own arrays (RotationScaleMergeGPU Impl::Alloc) wait for such work to end and ask again; the merge's helpers - ErrorModelGPU, WilsonOutliersGPU, PairSortGPU and the cub scratch of the engine itself - allocated directly and failed at once. CudaAlloc::SynchronousAfterWorkBeside: Synchronous, and where the card is full after the pool is trimmed, it waits for the GPU work beside the main line (wait_for_gpu_work_beside, 10 min as for the engine) and asks once more. The four merge files use it. Only the probe passes register GPUWorkBeside and they index only, so none of them merges and nothing waits for itself. When a buffer is allocated is all that changes; what is computed is not. Catch2 CudaDevicePtr_AfterWorkBesideWaitsForItsMemory: with the card filled by work beside, a Synchronous buffer fails and a SynchronousAfterWorkBeside one gets its memory once the work ends. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EizBKhTqrAYago9KJG3dA3
Jungfraujoch
Application to receive and analyse data from the PSI JUNGFRAU and EIGER detectors, together with
rugnux, its program for processing stored diffraction data - rotation and serial, macromolecular
and small-molecule - from images to merged reflections.
All documentation is now placed in docs/ subdirectory and for the current version hosted on Jungfraujoch Read The Docs page.