FPGA are great for implementing highly parallel structures for image, signal, data processing and algorithms. These structures are ideal for implementation in programmable logic however, the control, configuration, interfacing and man machine interfacing require more often than not sequential processing. Of course for simple applications Finite State Machines can be used however designing, modifying and maintain which makes the difficult to implement complex control structures. The solution is to implement a simple soft core processor in the FPGA, this session will explore what our processor choices are proprietary vs open source, the decision matrix for implementation and trade-offs which occur when we decide to include the softcore processor in the FPGA.