Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Significant por savings can be achieved on voltage/frequency configurable platforms by dynamically adapting the frequency and voltage according to the workload (complexity). Video decoding is one of the most complex tasks performed on such systems due to its computationally demanding operations like inverse filtering, interpolation, motion compensation and entropy decoding. Dynamically adapting the frequency and voltage for video decoding is attractive due to the time-varying workload and because the utility of decoding a frame is dependent only on decoding the frame before the display deadline. Our contribution in this paper is twofold. First,  adopt a complexity model that explicitly considers the video compression specifics to accurately predict execution times. Second, based on this complexity model,  propose a dynamic voltage scaling algorithm that changes effective deadlines of frame decoding jobs.  pose our problem as a buffer-constrained optimization and show that significant improvements can be achieved over the state-of-the-art dynamic voltage scaling techniques without any performance degradation.
['Emrah Akyol', 'M. van der Schaar']
I am writing a research paper on a idea Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems
[{"from": "human", "value": "I am writing a research paper on a idea Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Significant por savings can be achieved on voltage/frequency configurable platforms by dynamically adapting the frequency and voltage according to the workload (complexity). Video decoding is one of the most complex tasks performed on such systems due to its computationally demanding operations like inverse filtering, interpolation, motion compensation and entropy decoding. Dynamically adapting the frequency and voltage for video decoding is attractive due to the time-varying workload and because the utility of decoding a frame is dependent only on decoding the frame before the display deadline. Our contribution in this paper is twofold. First,  adopt a complexity model that explicitly considers the video compression specifics to accurately predict execution times. Second, based on this complexity model,  propose a dynamic voltage scaling algorithm that changes effective deadlines of frame decoding jobs.  pose our problem as a buffer-constrained optimization and show that significant improvements can be achieved over the state-of-the-art dynamic voltage scaling techniques without any performance degradation."}]