Attempt to solve memory access conflict problem in multiprocessor environment multifunction distributed shared-memory architecture
Min Gong · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
Tasks in Machine Vision are highly computation intensive. It will take a very long time to process these tasks with conventional computers. Tightly coupled shared memory multiprocessor systems are very suitable for those tasks. However, memory access conflicts raise a serious problem in Shared Memory Multiprocessor Systems. It limits the system size and reduces the system performance. This paper will describe a Multifunction Distributed Shared Memory architecture, which makes it possible to reduce memory access conflicts to minimum and increase equivalent bandwidth of the memory system up to N times (N stands for the number of MFDSM segments mapped into the same system address). Only critical resources have to be accessed mutual exclusively. A classical correlation image matching problem is taken as an example to describe the principle and to analyze the performance of MFDSM. A software simulation package is introduced and simulation results are given.