Impact of Heterogeneous Clusters to Implement Parallel Processing

With the increase of the technological advancements for the last couple of years, the world has been turned to digital and it is currently directed to be an automated future, this is the fourth industrial revolution. Most of the devices have processors to process the data. Since these processors work under the schematic of sequential processing, they are only capable to execute one command at a time. Whereas in certain applications like a huge factory, multiple commands are required to be executed simultaneously, in that case, parallel processing is the solution. Parallel processing is an integral part of everyday life. Now a day the embedded systems are involved in many industrial trends. This paper focuses on achieving a parallel processing capability depending on parallel embedded systems both homogeneous and heterogeneous which make a huge difference in computational efficiency. Since the practical applications like super-computers which are governed by parallel processing are extremely expensive, our target is to devise an inexpensive model which might be a low scaled version of a professional super-computer in terms of power, price and performance. The proposed system capable of executing parallel processing resembling a full scaled super-computer and has the capability of playing a crucial role in the process, communicate and store data in industrial, medical and educational sectors.