PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform

SpiNNaker is a neuromorphic hardware platform, especially designed for the simulation of Spiking Neural Networks (SNNs). To this end, platform features massively parallel computation and an efficient communication infrastructure based on transmission small packets. The effectiveness in execution PageRank (PR) algorithm has been tested by realization custom SNN implementation. In work, we propose implementation fully realized with MPI programming paradigm ported to platform. We compare scalability proposed program equivalent implementation, leverage characteristics benchmark our when faced massive requirements. Experimental results show that exhibits favorable scaling mid-sized context, while highlighting performance MPI-PageRank bounded memory size speed limitations current version hardware.