The world, we live and will live in the future, is Analog. Everything we can see, hear and perceive in life is Analog, from voice, music and seismic activity to visual perception, voice recognition and energy delivery. 20th Century scientists are still trying to understand and formulate world events. For this aim they have produced a system, which is different human machine language, name is Digital Systems. Digital Systems is only human known and used systems. If anything in the world is wanted to be done in digital language, firstly it has to be converted to digital language. After digital conversion if you find any results, you have to re convert results into Analog again, which is necessary for the real world, because world is absolutely Analog. Sometimes this method brings us solutions, but the 20th century designer scientists have reached some limits about creating answers in hard, long ways. Therefore it is impossible to fathom engineering real-life solutions without the help and support of high-performance Analog Electronics. If we have a universal solution, Analog, in our hands why do we prefer to use Digital Systems, Digital Application Specific Integrated Circuit (ASIC) systems? The only answer must be "we cannot know or understand all details in Analog Channel". At this point, this work is all about understanding and rebuilding fundamentals of Analog Channels for Electronic Systems. This is one of the most important engineering problems of our century. As a result, the aim of selecting this work is recreating models and autonomous real world testing system for new Analog Models, instead of Digital System Models. Selected solution method is development of the MPI parallel computing architecture, based on Artificial Intelligence Algorithms. In this proposed model, we introduce an approach to develop a Message Passing Interface (MPI) Parallel Computing Architecture using Genetic Algorithms (GA). We validate our approach by applying the technique Analog Circuit Design technique.