Anugerah Firdauzi - DR project
Data Converter for Memristor Readout
Doctoral Researcher: Anugerah Firdauzi
Local ZEA-2 Supervisor: Christian Grewing
Academic Supervisor: Stefan van Waasen, University of Duisburg-Essen (UDE)
Topic: Neuromorphic Computing
Research Field: Information
Memristor Overview
The memristor, theorized by Leon Chua in 1971 [1], is the fourth basic electronic component after the resistor, capacitor, and inductor. Plainly put, a memristor is a variable, multi-level resistor that conserves the current conductance state even without power. Following its reinvention by R. S. Williams and his teams at Hewlett-Packard in 2008 [2], the memristor has found its way into a broad research area. Starting with the implementation of the device itself, modeling, and its application in a new paradigm for memory and neural networks, memristor has become a building block that allows research on neuromorphic computing to progress rapidly.
NEUROTEC II Project
Research Objective
The objective of this research is to design a high-resolution, current-based ADC using a 28 nm bulk CMOS technology, capable of measuring the total current flowing from multiple memristor tiles within a single column of the array. Alongside the high-resolution requirement, it is crucial to minimize the ADC's area and power consumption since it needs to align with the width of a memristor column to avoid stretching out the array unnecessarily.
References
[1] L.O. Chua. 1971. Memristor-The Missing Circuit Element. IEEE Trans. On Circuit Theory.
[2] D.B. Strukov, R.S. Williams, et.al. 2008. The missing memristor found. Nature.
[3] A. Mehonic, et.al. 2020. Memristors – From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing. Adv. Intell. Syst.
- Central Institute of Engineering, Electronics and Analytics (ZEA)
- Electronic Systems (ZEA-2)
Room 205