A method for data path synthesis using neural networks
Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. The proposed algorithm has a running time complexity of O(1) fo...
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| Format: | conferenceObject |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10725/5486 http://dx.doi.org/10.1109/CCECE.1999.807241 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/807241/ |
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