| Budget Amount *help |
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2019: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2018: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2015: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
|
|---|
| Outline of Final Research Achievements |
When we design a circuit with unreliable devices, the circuit may output wrong values for certain input patterns. Even so, when such errors can be ignored, we can still use such circuits. Thus, we studied many aspects of Approximate Computing to find various results concerning how we can tolerate some errors. For example, we found an efficient way to design approximate multipliers that have a good trade-off between an image discrimination rate and hardware costs (area and speed) when we develop hardware CNNs for recognizing handwritten characters. Moreover, we also develop an design method for Stochastic Computing such that we can decrease the hardware cost while we keep the calculation errors low.
|
