Month: 2026-03 — Delivered a performance-focused enhancement for multi-GPU reductions in ROCm/aiter by adding a double buffering mechanism to cross_device_reduce_1stage. This enabled overlapping data loading and computation across GPUs, boosting throughput and reducing latency. Adjusted shared memory usage and synchronization to support the buffering strategy, with a benchmark-driven decision to make the double path the default route. Included CI workflow improvements (skip CK dependency check on main branch) to streamline validation. The work delivers business value by improving scalability and efficiency of large multi-GPU workloads, and demonstrates advanced GPU programming, optimization, and cross-team collaboration (co-authored-by Xin Huang).