This section illustrates the details of system partitioning for the Hough Transform. The ultimate system goals, techniques to parallelize the algorithm over multiple AI Engine tiles, analyzing storage, compute, and bandwidth and their impacts on the partitioning choices are considered. A spreadsheet analysis steers us to some early conclusions on what might be feasible, but some detailed prototyping work is required to refine these estimates to finally identify a more accurate scoping of how many AI Engine resources are required to achieve the design objectives.