Through the growth of compute power, high-fidelity simulations have become increasingly accessible and gained widespread adoption in academics and industry. Understanding physical phenomena, prediction and other design stages rely heavily on CFD. The cornerstone of these numerical simulations is the efficient use of parallel, distributed algorithms, often tuned to hardware specific microarchitectures for maximum performance. To leverage regular data indexing for faster memory access and    optimized layout, structured multiblock grids arise as a natural choice. Combined with curvilinear transformations, this topological framework enhances solver fidelity by allowing for precise control over mesh density in critical regions, while maintaining the flexibility to resolve complex geometries.