Since each frame can be treated independently, both XGandalf and TORO are trivially parallelizable. However, due to the reduced number of iterations of TORO and the similarity between the computations done on different frames, we can harness the power of GPUs and TPUs, while retaining the flexibility of using multi-core CPUs when other accelerators are unavailable. Regardless of the architecture choice, TORO offers a faster alternative.