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PROJECTED MEMRISTOR: A nanoscale device for cognitive computing

Total Cost €


EC-Contrib. €






Project "PROJESTOR" data sheet

The following table provides information about the project.


Organization address
postcode: 8803

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 2˙555˙525 €
 EC max contribution 2˙555˙525 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-07-01   to  2021-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IBM RESEARCH GMBH CH (RUESCHLIKON) coordinator 2˙555˙525.00


 Project objective

We are entering the third era of computing: cognitive computing, which holds great promise in terms of deriving intelligence/knowledge from huge volumes of data. Today’s cognitive computers are based on the von Neumann architecture, in which the computing and the memory units are separated. Cognitive computing, however, is inherently data-centric, meaning that huge amounts of data need to be shuttled back and forth at high speeds, a task at which that architecture is highly inefficient.

It is becoming increasingly clear that to build efficient cognitive computers, we need to transition to non-von Neumann architectures where memory and logic coexist in some form. Brain-inspired neuromorphic computing and the fascinating new area of memcomputing are two key non-von Neumann approaches being researched. The critical element in these novel computing paradigms is a very-high-density, low power, variable-state, programmable and non-volatile nanoscale memory device. A technological breakthrough that will lead us to this device will be a game-changer for cognitive computing.

The goal of this project is to explore one such device concept that I co-invented at IBM Research - Zurich and which we have dubbed “projected memristor” or “projestor” for short. The projestor is indeed a memristor, i.e., a resistive element that remembers the history of the current that previously flowed through the device. The distinguishing feature of a projestor is that the physical mechanism of resistance storage is decoupled from the information retrieval process.

In the first part of the project, we will design and fabricate projestor devices to establish the concept of projection and assess its merits and drawbacks. In the second part, we will expand the concept substantially to explore highly innovative projestor devices. In the third part, we will explore various applications of projestors in neuromorphic computing and memcomputing, with a particular focus on real-time data analytics.


year authors and title journal last update
List of publications.
2017 S. R. Nandakumar*, Manuel Le Gallo, Irem Boybat, Bipin Rajendran, Abu Sebastian*, Evangelos Eleftheriou
Mixed-precision training of deep neural networks using computational memory
published pages: , ISSN: , DOI:
2017 Abu Sebastian, Tomas Tuma, Nikolaos Papandreou, Manuel Le Gallo, Lukas Kull, Thomas Parnell, Evangelos Eleftheriou
Temporal correlation detection using computational phase-change memory
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-017-01481-9
Nature Communications 8/1 2019-06-18
2018 Manuel Le Gallo, Abu Sebastian, Roland Mathis, Matteo Manica, Heiner Giefers, Tomas Tuma, Costas Bekas, Alessandro Curioni, Evangelos Eleftheriou
Mixed-precision in-memory computing
published pages: 246-253, ISSN: 2520-1131, DOI: 10.1038/s41928-018-0054-8
Nature Electronics 1/4 2019-06-18
2018 Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Neuromorphic computing with multi-memristive synapses
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-04933-y
Nature Communications 9/1 2019-06-18
2018 Abu Sebastian, Manuel Le Gallo, Geoffrey W. Burr, Sangbum Kim, Matthew BrightSky, Evangelos Eleftheriou
Tutorial: Brain-inspired computing using phase-change memory devices
published pages: 111101, ISSN: 0021-8979, DOI: 10.1063/1.5042413
Journal of Applied Physics 124/11 2019-04-20
2018 Manuel Le Gallo, Abu Sebastian, Giovanni Cherubini, Heiner Giefers, Evangelos Eleftheriou
Compressed Sensing With Approximate Message Passing Using In-Memory Computing
published pages: 4304-4312, ISSN: 0018-9383, DOI: 10.1109/ted.2018.2865352
IEEE Transactions on Electron Devices 65/10 2019-04-20
2018 Martin Salinga, Benedikt Kersting, Ider Ronneberger, Vara Prasad Jonnalagadda, Xuan Thang Vu, Manuel Le Gallo, Iason Giannopoulos, Oana Cojocaru-Mirédin, Riccardo Mazzarello, Abu Sebastian
Monatomic phase change memory
published pages: 681-685, ISSN: 1476-1122, DOI: 10.1038/s41563-018-0110-9
Nature Materials 17/8 2019-04-20

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