Machine learning on FPGA CAD
Parameter tuning for field-programmable gate array (FPGA) computer-aided design (CAD) tools was a difficult task. Plunify proposed a novel solution by incorporating machine learning. A classifier was built and refined iteratively from CAD run records; and it was used to predict whether a new set of...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/65738 |