Cellular Neural Network Parallelization Rules
Thomas Weishäupl, Erich Schikuta · 2004
@univie.ac.atABSTRACT: We present “Rules of Thumb” for efficient and sim-ple parallelization of Cellular Neural Networks (CNNs). The rules re-sult from the application and optimization of the simple but effectivestructural data parallel approach, which is based on the SPMD model.The process of parallelizing the algorithm employs HPF to generate anMPI-based program.