| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2020: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2019: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
We revealed the method to apply a neural network as a cost function used in the SA method. If a neural network is simply applied, the placement and connection information will require an unrealistic number of input nodes. In this study, so we established a method to significantly reduce the number of input nodes without significantly losing the meaning of the input data by converting the placement and connection information to a map marked with placement position and the possibly routed area. Furthermore, we established a method to predict the better placement by comparing two placements generated from the same netlist by the neural network. Furthermore, it was also found that the placement performed by the conventional place and route methods can be improved by applying the SA method using the trained neural network as the cost function.
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