A parallel graph processing engine leveraging CUDA for GPU-accelerated traversal and computation. Designed to benchmark performance characteristics of graph algorithms under parallel execution vs. sequential CPU baselines. Engineering focus: CUDA kernel design, memory coalescing, parallel BFS/SSSP, performance profiling and benchmarking. Relevant for: high-performance computing, systems engineering, infra-heavy and compute-intensive workloads.