The most important principle of parallel processing is simultaneity, or processing multiple tasks simultaneously. The paper generally studies about parallel processing system and application of parallel processing problem in image parameters for very good results and faster program. | Chu Đức Toàn Tạp chí KHOA HỌC & CÔNG NGHỆ 93(05): 91 - 95 PARALLEL PROCESSING AND PARALLEL PROCESSING APPLICATIONS IN IMAGE PARAMETER Chu Duc Toan* Electric Power University ABSTRACT The science growth brings many problems with large volume of calculation, however, during a certain time. The examples are 3D image processing problems, oil exploration, forecasting, multiple-target follow-up system requiring fast computation speed, etc (sequential processing such as von Neumann does not meet requirements). To solve these problems, it is researched to speed up by two methods or a combination of two methods that are (1) technology improvement to increase computer-processing speed, requiring more time, more expenses but brings speed limited and (2) division of the problems into smaller tasks to run parallel on multiple processors (functional decomposition problem). The most important principle of parallel processing is simultaneity, or processing multiple tasks simultaneously. The paper generally studies about parallel processing system and application of parallel processing problem in image parameters for very good results and faster program Keywords: parallel processing system; calculation; process multiple tasks simultaneously; parallel processing image parameters, and increase processing speed. INTRODUCTION* Sequential computing with a processor carries out only a computation in one time. However, parallel processing can perform multiple operations simultaneously. So it involves many parameters, both hardware and software. Figure 1 shows a comparison between parallel programming and conventional programming. Developing control mechanisms of parallel processing requires following components: A-algorithm for parallel processing (Algorithm); L - Language, O-Object Code; M - Machine code MULTI-CPUPARALLEL SYSTEM PROCESSING Multi-CPU system can be characterized by two attributes: an independent processing system including multiple CPUs and which CPUs can contact .
