Abstract-Marine diesel engines operate in highly dynamic and uncertain environments, hence they require robust and accurate speed controllers that can handle the encountered uncertainties. Type-2 Fuzzy Logic Controllers (FLCs) can handle such uncertainties; however there are a number of computational bottlenecks posing as significant barriers, preventing widespread deployment of type-2 FLCs in commercial embedded control systems. This paper explores the use of parallel hardware implementations of interval type-2 FLC as a means to eradicate these barriers producing bespoke co-processors for a soft core implementation of a FPGA based 32 bit RISC micro-processor. These co-processors will perform functions such as fuzzification and type reduction and are currently utilised as part of a larger embedded Interval Type-2 Fuzzy Engine Management System (T2FEMS). Numerous timing comparisons were undertaken between the coprocessors and hard coded type reducers were the type-2 coprocessors reduced the required computational cycles by 99.88 percent. Thus the co-processors enable us to fully explore the potential of interval and potentially general type-2 systems in applied commercial embedded applications.