here is a software gap between hardware potential and the performance that can be attained using today ’ s software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code.Parallel computing is now moving

here is a software gap between hardware potential and the performance that can be attained using today ’ s software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code.Parallel computing is now moving from the realm of specialized expensive systems available to few select groups to cover almost every computing system in use today. We can find parallel computers in our laptops, desktops, and embedded in our smartphones. The applications and algorithms targeted to parallel computers were traditionally confined to weather prediction, wind tunnel simulations, computational biology, and signal processing. Nowadays, just about any application that runs on a computer will encounter the parallel processors now available in almost every system. Parallel algorithms could now be designed to run on special – purpose parallel processors or could run on general – purpose parallel processors using several multilevel techniques such as parallel program development, parallelizing compilers, multithreaded operating systems, and superscalar processors. Question: Search for an open source C# sharp language emulator and modify/add codes to improve the processing time of the emulator. Provide both the original and the modified emulator with a documentation of what you did to improve it.