Hardware Implementation of Ring Oscillator Networks Coupled by BEOL Integrated ReRAM for Associative Memory Tasks
We demonstrate the first hardware implementation of an oscillatory neural network (ONN) utilizing resistive memory (ReRAM) for coupling elements. A ReRAM crossbar array chip, integrated into the Back End of Line (BEOL) of CMOS technology, is leveraged to establish dense coupling elements between oscillator neurons, allowing phase-encoded analog information to be processed in-memory. We also realize an ONN architecture design with the coupling ReRAM array. To validate the architecture experimentally, we present a conductive metal oxide (CMO)/HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf> ReRAM array chip integrated with a 2-by-2 ring oscillator-based network. The system successfully retrieves patterns through correct binary phase locking. This proof of concept underscores the potential of ReRAM technology for large-scale, integrated ONNs.
Authors
- Bert Jan Offrein (ORCID: https://orcid.org/0000-0001-6082-0068)
- Siegfried Karg (ORCID: https://orcid.org/0000-0001-9873-2717)
- Valeria Bragaglia (ORCID: https://orcid.org/0000-0003-0636-4211)
- Antonio La Porta (ORCID: https://orcid.org/0000-0003-3734-1354)
- Aida Todri‐Sanial (ORCID: https://orcid.org/0000-0001-8573-2910)
- J. F. M. Verest
- Donato Francesco Falcone (ORCID: https://orcid.org/0009-0000-7474-7340)
- Wooseok Choi (ORCID: https://orcid.org/0000-0003-4064-4575)
- Olivier Maher
- Daniel Jubin
- Thomas Van Bodegraven
Institutions
- IBM Research - Zurich (CH)
- Eindhoven University of Technology (NL)
Publication Details
- Published
- 2025-05-18
- DOI
- https://doi.org/10.1109/imw61990.2025.11026987
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73