Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a system level methodology for modeling, and analyzing the performance of system-on-chip (SOC) processors. The solution adopted focuses on minimizing assessment time by modeling processors behavior only in terms of the performance metrics of interest. Formally, the desired behavior is captured through a C/C++ executable model, which uses finite state machines (FSM) as the underlying model of computation (MOC). To illustrate and validate our methodology  applied it to the design of a 16-bit reduced instruction set (RISC) processor. The performance metrics used to assess the quality of the design considered are por consumption and execution time. Hover, the methodology can be extended to any performance metric. The results obtained demonstrate the robustness of the proposed method both in terms of assessment time and accuracy
['Claudio Talarico', 'Min-Sung Koh', 'Esteban Rodriguez-Marek']
I am writing a research paper on a idea System Level Performance Assessment of SOC Processors with SystemC
[{"from": "human", "value": "I am writing a research paper on a idea System Level Performance Assessment of SOC Processors with SystemC"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a system level methodology for modeling, and analyzing the performance of system-on-chip (SOC) processors. The solution adopted focuses on minimizing assessment time by modeling processors behavior only in terms of the performance metrics of interest. Formally, the desired behavior is captured through a C/C++ executable model, which uses finite state machines (FSM) as the underlying model of computation (MOC). To illustrate and validate our methodology  applied it to the design of a 16-bit reduced instruction set (RISC) processor. The performance metrics used to assess the quality of the design considered are por consumption and execution time. Hover, the methodology can be extended to any performance metric. The results obtained demonstrate the robustness of the proposed method both in terms of assessment time and accuracy"}]