Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Heterogeneous multi-core platforms are widely accepted for high performance multimedia embedded systems. Although pipeline techniques can enhance performance for the multi-core platforms, data dependencies for processing compressed multimedia data makes it difficult, if not impossible, to automate pipelined design. ,  target on multimedia streaming applications on heterogeneous multi-core platforms and develop the "Tile Piecing Algorithm" for pipelined schedule synthesis within the targeted applications and platforms. The algorithm gives an efficient way to construct a pipelined schedule. The performance evaluation result shows that the algorithm performs as ll as the optimal algorithm to utilize the computation resource. On the other hand, the algorithm only takes hundreds of milliseconds to complete, which is less than one tenth of the running time for optimal algorithm. Last, the synthesized schedule is ll packed. The short execution time and schedule make-span makes the algorithm more practical to be used during the run-time.
['Yi-Sheng Chiu', 'Chi-Sheng Shih', 'Shih-Hao Hung']
I am writing a research paper on a idea Pipeline schedule synthesis for real-time streaming tasks with inter/intra-instance precedence constraints
[{"from": "human", "value": "I am writing a research paper on a idea Pipeline schedule synthesis for real-time streaming tasks with inter/intra-instance precedence constraints"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Heterogeneous multi-core platforms are widely accepted for high performance multimedia embedded systems. Although pipeline techniques can enhance performance for the multi-core platforms, data dependencies for processing compressed multimedia data makes it difficult, if not impossible, to automate pipelined design. ,  target on multimedia streaming applications on heterogeneous multi-core platforms and develop the \"Tile Piecing Algorithm\" for pipelined schedule synthesis within the targeted applications and platforms. The algorithm gives an efficient way to construct a pipelined schedule. The performance evaluation result shows that the algorithm performs as ll as the optimal algorithm to utilize the computation resource. On the other hand, the algorithm only takes hundreds of milliseconds to complete, which is less than one tenth of the running time for optimal algorithm. Last, the synthesized schedule is ll packed. The short execution time and schedule make-span makes the algorithm more practical to be used during the run-time."}]