Neuromorphe Computing


DFG grant for "Memristive Devices Toward Smart Technical Systems"

The German Research Foundation (DFG) is funding five projects under the priority program "Memristive Devices Toward Smart Technical Systems" with the participation of members of the Faculty of Electrical Engineering and Information Technology at RWTH Aachen University. Four of them are projects at the chair of Prof. Rainer Waser IWE2 and the Peter Grünberg Institute of the Forschungszentrum Jülich. A further project was approved in the teaching and research area of Prof. Regina Dittmann "Technology of Oxide Electronics" also at the Peter Grünberg Institute.

The funding for the five Jülich-Aachen projects amounts to approx. 1.2 million EURO for the duration of the priority program of 3 years. Within the framework of the various projects, Faculty 6 will develop memristive components for use in novel energy-efficient computer structures or for intelligent sensor applications for the future Internet of Things in cooperation with other research institutions such as TU Dresden, TU Chemnitz, the Karlsruher Institut für Technologie (KIT), the Helmholtz-Zentrums Berlin, TU Berlin and the NMI - Natural and Medical Sciences Institute - at the University of Tübingen and the Groningen Cognitive Systems and Materials Center (CogniGron

About the projects:

In the project "Memristive Time difference encoder (MemTDE)" the group of Mrs. Dittmann and the Groningen Cognitive Systems and Materials Center (CogniGron) are working on the development of a memristor-based intelligent electronics for processing sensor signals for the Internet of Things. This is intended to process the collected information on site instead of transmitting it wirelessly using a lot of energy.

In the "Hybrid MEMristor-CMOS Micro Electrode Array bio-sensing platform (MEMMEA)" project, the partners of PGI-7, the Helmholtz Center Berlin, the TU Berlin and the NMI - Natural and Medical Sciences Institute - at the University of Tübingen are striving to develop sensors that can directly record the activity of biological neurons. These sensors based on memristor-CMOS hybrid circuits enable direct on-chip signal processing and open up a new field of biological signal processing.

In the project "Domino Processing Unit: Towards Novel High Efficient In-Memory-Computing (MemDPU)" the partners of PGI-7 and the Chemnitz University of Technology are working on a novel computing unit, the Domino Processing Unit (DPU). In contrast to the conventional von Neumann architecture computing unit, this DPU enables computing directly in memory. With the DPU, the high energy consumption is saved through communication between the memory and the computing unit.

In the project "Universal Memcomputing in Hardware Realizations of Memristor Cellular Nonlinear Networks (Mem2CNN)" the partners of PGI-10, PGI-7 and TU Dresden are pursuing the development of memristive cellular neural networks. These networks enable the direct processing of video signals, for example in the form of edge detection for pattern recognition. Thus, visual data could be processed in real-time.

In the project "Robust Compute-in Memory using Memristors : ROBCOMM", the partners of IWE 2, PGI-7 and Karlsruhe Institute of Technology (KIT) are working on the development of reliable, efficient circuits based on memristive components that enable a Computation-in-Memory (CIM) architecture. The CIM architecture allows to efficiently perform complex computational operations such as vector-matrix operations or to directly solve large systems of equations.