SRAM-based compute-in-memory macros for artificial intelligence applications

• Main Author: Zhang, Xin
• Other Authors: Kim Tae Hyoung
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering::Electrical and electronic engineering::Integrated circuits
• Online Access: https://hdl.handle.net/10356/173157
• Institution: Nanyang Technological University

With the booming of artificial intelligence technology, processing of intensive data in the traditional von Neumann hardware faces numerous challenges, such as power-hungry computing and unsatisfactory processing latency. However, for edge devices, especially battery-based ones, low power consumptio...