Power/Area-Efficient I/O and Write Circuits for Memristor crossbar Array Based Neuromorphic Computing System
Abstract
In this project, we designed and implemented several critical analog integrated circuit blocks to support the neuromorphic computing using memristor crossbar array. Specifically, we designed and implemented the high-speed integrate-and-fire circuit (H-IFC) for the energy-efficient spike-based neuromorphic computing system, and the digital-to-analog convertor (DAC), the trans-impedance amplifier (TIA), and the pipelined analog-to-digital convertor (ADC) for the high-performance level-based neuromorphic computing system using Global Foundry 0.13 microns standard CMOS technology.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2018
- Accession Number
- AD1062970
Entities
People
- Hao Jiang
Organizations
- San Francisco State University