7 Commits

Include renames

Author	SHA1	Message	Date
leonarski_fandClaude Opus 4.8	cc925b2668	Remove NUMAHWPolicy and the libnuma dependency ... 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>	2026-06-17 20:25:36 +02:00
leonarski_fandClaude Opus 4.8	02fa15c2b9	jfjoch_process: spread per-image GPU work across all visible GPUs ... 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>	2026-06-17 15:29:52 +02:00
leonarski_f	061152279c	v1.0.0-rc.91	2025-10-20 20:43:44 +02:00
leonarski_f	28d224afab	version 1.0.0-rc.25	2024-11-22 21:25:20 +01:00
leonarski_f	16bbf54f2a	Remove open source license (for now)	2023-09-15 10:47:21 +02:00
leonarski_f	9d978a41f7	NUMAHWPolicy: Added	2023-07-28 11:07:15 +02:00
leonarski_f	669b2d9358	CUDAWrapper: Move select device to dedicated wrapper	2023-07-27 21:30:10 +02:00