Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a novel por efficient iterative Design Space Exploration (DSE) approach that finds the integrated solution to optimal/near-optimal scheduling and module selection with simultaneous reduction of the static por consumption of the design under the expenditure of minimal control steps. This iterative heuristic method is based on a novel priority function metric called ‘Priority Indicator (PI)’ and ‘Dependency Matrix algorithm’ that is responsible to minimize the por consumption of the resources without disturbing the data dependency present in the given problem. The proposed method also evenly distributes the allocated hardware functional units during the final scheduling. The comparison of the proposed approach with a recent approach in terms of exploration runtime and quality of final solution (measured using proposed ‘Effective Cost Metric (ECM)’) indicated an average improvement of 4.27 % in the quality of final solution and reduction of 62.52 % in exploration runtime.
['Anirban Sengupta', 'Reza Sedaghat', 'Pallabi Sarkar', 'Summit Sehgal']
I am writing a research paper on a idea Priority function based power efficient rapid Design Space Exploration of scheduling and module selection in high level synthesis
[{"from": "human", "value": "I am writing a research paper on a idea Priority function based power efficient rapid Design Space Exploration of scheduling and module selection in high level synthesis"}, {"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 novel por efficient iterative Design Space Exploration (DSE) approach that finds the integrated solution to optimal/near-optimal scheduling and module selection with simultaneous reduction of the static por consumption of the design under the expenditure of minimal control steps. This iterative heuristic method is based on a novel priority function metric called \u2018Priority Indicator (PI)\u2019 and \u2018Dependency Matrix algorithm\u2019 that is responsible to minimize the por consumption of the resources without disturbing the data dependency present in the given problem. The proposed method also evenly distributes the allocated hardware functional units during the final scheduling. The comparison of the proposed approach with a recent approach in terms of exploration runtime and quality of final solution (measured using proposed \u2018Effective Cost Metric (ECM)\u2019) indicated an average improvement of 4.27 % in the quality of final solution and reduction of 62.52 % in exploration runtime."}]