Research Of Parallel Computing In Polymorphic Array Prcessor

Because the simple processing element on a many-core chip does not have complex control logic.It is challengeable in the development of instruction level parallel.But simple cores on the single chip can get more instruction level parallelism than the intricate multi-core processors.This article give a detailed analysis to the current popular computer architecture, conducts an in-depth study of parallel computing features of the many-core polymorphic array processor-PAAG(Polymorphic Array Architecture for Graphics and image processing). We development parallel computing in Homogeneous array machine by combining multiple parallel computing paradigm such as thread level parallelism, data level parallelism, and instruction level parallelism.In this thesis,we exploit the commonality of the parallelism in popular graphics and image processing algorithms through an in-depth study. The capabilities of exascale parallel computing in graphics and image processing is developed by PAAG hardware platform.Making the calculation of maximum parallel tasks from the perspective of space-time so that make the hardware resources on the core fully utilized, reducing waste of hardware resources and solving the problem of low utilization of resources on many core processor.At the end of this thesis,the formulae of speedup ratio about image processing in PAAG array processor is derived out.I use experimental data to show the advantages of instruction level parallelism in Homogeneous array Processor PAAG, and summarize the method of instruction level parallelism in Homogeneous array processor PAAG.