Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In conventional static implementations for correlated streaming applications, computing resources may be in-efficiently utilized since multiple stream processors may supply their sub-results at asynchronous rates for result correlation or synchronization. To enhance the resource utilization efficiency,  analyze multi-streaming models and implement an adaptive architecture based on FPGA Partial Reconfiguration (PR) technology. The adaptive system can intelligently schedule and manage various processing modules during run-time. Experimental results demonstrate up to 78.2% improvement in throughput-per-unit-area on unbalanced processing of correlated streams, as ll as only 0.3% context switching overhead in the overall processing time in the worst-case.
['Ming Liu', 'Zhonghai Lu', 'Wolfgang Kuehn', 'Axel Jantsch']
I am writing a research paper on a idea FPGA-based adaptive computing for correlated multi-stream processing
[{"from": "human", "value": "I am writing a research paper on a idea FPGA-based adaptive computing for correlated multi-stream processing"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In conventional static implementations for correlated streaming applications, computing resources may be in-efficiently utilized since multiple stream processors may supply their sub-results at asynchronous rates for result correlation or synchronization. To enhance the resource utilization efficiency,  analyze multi-streaming models and implement an adaptive architecture based on FPGA Partial Reconfiguration (PR) technology. The adaptive system can intelligently schedule and manage various processing modules during run-time. Experimental results demonstrate up to 78.2% improvement in throughput-per-unit-area on unbalanced processing of correlated streams, as ll as only 0.3% context switching overhead in the overall processing time in the worst-case."}]