#power management

At the OSPM 2026 Linux kernel summit, a new schedext-based approach for GPU-aware auto-affinitization was presented, achieving up to 80 frames per second on a RegNet workload, outperforming both the default fair scheduler (56fps) and manual numactl pinning (77fps). This work promises to simplify GPU workload management on NUMA systems by automatically optimizing CPU-GPU locality, reducing the need for manual tuning and potentially improving performance for AI and accelerator-heavy applications. The prototype uses a Rust user-space component that queries NVIDIA's NVML library to track per-task GPU utilization, then feeds a BPF map that the schedext scheduler (scxcosmos) uses to migrate tasks to the preferred NUMA node. Caveats include that task memory is not migrated automatically, and aggressive packing may conflict with load balancing.