SRAM based computing-in-memory for tiny machine learning

• Main Author: Gupta, Shini
• Other Authors: Kim Tae Hyoung
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; SRAM; Computing in memory; Tiny machine learning
• Online Access: https://hdl.handle.net/10356/175498
• Institution: Nanyang Technological University

This dissertation investigates the potential of Computing-In-Memory (CIM) using Static Random-Access Memory (SRAM) to address the limitations of the Von Neumann architecture and to increase miniaturisation. This research aims to overcome this bottleneck by enabling in-memory computation for tiny mac...