Distributed And Heterogeneous Computing As A Form Of Parallel Processing For Graphics Rendering System Based On FPGA

Nowadays,with the continuous development of big data and heterogeneous computing,the traditional computing architecture has been affected by many aspects such as its own technology and manufacture,and has failed to meet the requirements of big data computing speed and real-time.Many newly-developed computing architectures are widely used in various fields such as image recognition,speech recognition and big data analysis by virtue of their unique architecture and acceleration features.Among these new computing architectures,FPGA can bring significant enhancement to computational performance.The characteristic of this system architecture is that it is written and transplanted by self-designed architecture from the bottom of the system to the upper layer of the software.At the same time,the FPGA computing unit is used for customized acceleration.The software layer adopts the Hadoop distributed system of Master/Slave architecture for secondary acceleration.This article has achieved a holistic system,which,in theory,can run a variety of suitable programs of data-intensive type computations and big data type computations.The sample analysis program used in this paper is a graphics rendering program.Finally,according to the results and running time of the program,the optimization of the program and the acceleration performance of the system framework are out of perform.The main work of this paper is to transplant operating system to form a distributed system through independent building hardware architecture,and use FPGA for specific acceleration of graphics rendering programs.The main innovation of this paper is to customize the hardware and operating system,with CPU + FPGA heterogeneous acceleration and distributed acceleration combined to achieve the second acceleration.