Partitioned schemes of mapping neural networks onto mesh connected computers

Two new mapping methods for implementing neural networks on parallel mesh-connected processors are given. These are the rectangular region based mapping method and the no zero weight value mapping method. Implementation and performance comparisons with another existing method are carried out. One of these three methods can be used depending on system and problem parameters.<>