Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a pipelining-aware router for fieldprogrammable gate arrays (FPGAs). The problem of routing pipelined signals is different from the conventional FPGA routing problem. The two-terminal N/sub D/ pipelined routing problem is to find the lost cost route beten a source and sink that goes through at least N (N/spl ges/1) distinct pipelining resources. In the case of a multiterminal pipelined signal, the problem is to find a minimum spanning tree (MST) that contains sufficient pipelining resources such that pipelining constraints at each sink are satisfied. ,  first present an optimal algorithm for finding a lost cost 1/sub D/ route. The optimal 1/sub D/ algorithm is then used as a building block for a greedy two-terminal N/sub D/ router. Next,  discuss the development of a multiterminal routing algorithm (PipeRoute) that effectively leverages both the 1/sub D/ and N/sub D/ routers. Finally,  present a preprocessing heuristic that enables the application of PipeRoute to pipelined FPGA architectures. PipeRoute's performance is evaluated by routing a set of benchmark netlists on the reconfigurable pipelined datapath (RaPiD) architecture. Our results show that the architecture overhead incurred in routing netlists on RaPiD is less than 20%. Further, the results indicate a possible trend beten the architecture overhead and the percentage of pipelined signals in a netlist.
['Akshay Sharma', 'Carl Ebeling', 'Scott Hauck']
I am writing a research paper on a idea PipeRoute: a pipelining-aware router for reconfigurable architectures
[{"from": "human", "value": "I am writing a research paper on a idea PipeRoute: a pipelining-aware router for reconfigurable architectures"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a pipelining-aware router for fieldprogrammable gate arrays (FPGAs). The problem of routing pipelined signals is different from the conventional FPGA routing problem. The two-terminal N/sub D/ pipelined routing problem is to find the lost cost route beten a source and sink that goes through at least N (N/spl ges/1) distinct pipelining resources. In the case of a multiterminal pipelined signal, the problem is to find a minimum spanning tree (MST) that contains sufficient pipelining resources such that pipelining constraints at each sink are satisfied. ,  first present an optimal algorithm for finding a lost cost 1/sub D/ route. The optimal 1/sub D/ algorithm is then used as a building block for a greedy two-terminal N/sub D/ router. Next,  discuss the development of a multiterminal routing algorithm (PipeRoute) that effectively leverages both the 1/sub D/ and N/sub D/ routers. Finally,  present a preprocessing heuristic that enables the application of PipeRoute to pipelined FPGA architectures. PipeRoute's performance is evaluated by routing a set of benchmark netlists on the reconfigurable pipelined datapath (RaPiD) architecture. Our results show that the architecture overhead incurred in routing netlists on RaPiD is less than 20%. Further, the results indicate a possible trend beten the architecture overhead and the percentage of pipelined signals in a netlist."}]