Stochastic computing system hardware design for convolutional neural networks optimized for accuracy area and energy efficiency

• Main Author: Hamdan, Hamdan Usamah
• Format: Thesis
• Language: English
• Published: 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/98197/1/HamdanUsamahHamdanPSKE2020.pdf; http://eprints.utm.my/id/eprint/98197/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:144883

Stochastic computing (SC) is an alternative computing paradigm that can lead to designs that offer lower area and power consumption compared to that of the conventional binary-encoded (BE) deterministic computing. In SC, numbers are encoded as a bit-stream of ‘0’s and ‘1’s, where SC computation eleme...