A multiprocessor architecture for the massively parallel model GCA
Wolfgang Heenes, Rolf Hoffmann, Johannes Jendrsczok · TUbilio (Technical University of Darmstadt) · 2006
The GCA (Global Cellular Automata) model con-sists of a collection of cells which change their states synchronously depending on the states of their neigh-bors like in the classical CA model. In differentiation to the CA model the neighbors are not fixed and local, they are variable and global. The GCA model is applicable to a wide range of parallel algorithms. In this paper a multiprocessor architecture for the massively paral-lel GCA model is presented. In contrast to a special purpose implementation of a GCA algorithm the mul-tiprocessor system allows the implementation in a flexi-ble way through programming. The architecture mainly consists of a number of cell processors and a network. The cell processors are dedicated RISC processors, the network is a crossbar implemented with multiplexers. Only read-accesses through the network are necessary in the GCA model leading to a simplified structure. A system with 32 processors was implemented as a pro-totype on a FPGA. The analysis and implementation results have shown that the performance of the system scales very well with the number of processors. 1.