March 2026 performance-focused update for cuGraph (rapidsai/cugraph). Primary work centered on FW-BW Strongly Connected Components (SCC) optimization. Implemented functionality to intersect reachable sets and recursively trim trivial SCCs within components, enabling the next FW-BW iteration to target unresolved components. This reduced the number of components and improved overall runtime for large graphs. Delivered via PR #5468 with commit bca076e1faff5fd892a19d617cddd3f3582c62b9. No major bug fixes documented for this month; the emphasis was on performance and algorithmic improvements with clear business value. Technologies demonstrated include GPU-accelerated graph algorithms (C++/CUDA), algorithmic optimization, and cross-team code review and collaboration optimized for throughput and scalability of graph analytics.