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OE-CAM: A Hybrid Opto-Electronic Content Addressable Memory
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Electrical & Computer Engineering Department, George Washington University, Washington, DC, USA.ORCID iD: 0000-0001-8806-8146
Electrical & Computer Engineering Department, George Washington University, Washington, DC, USA.
Electrical & Computer Engineering Department, George Washington University, Washington, DC, USA.
Electrical & Computer Engineering Department, George Washington University, Washington, DC, USA.ORCID iD: 0000-0002-5152-4766
2020 (English)In: IEEE Photonics Journal, E-ISSN 1943-0655, Vol. 12, no 2, article id 6600114Article in journal (Refereed) Published
Abstract [en]

A content addressable memory (CAM) is a type of memory that implements a parallel search engine at its core. A CAM takes as an input a value and outputs the address where this value is stored in case of a match. CAMs are used in a wide range of applications including networking, cashing, neuromorphic associative memories, multimedia, and data analytics. Here, we introduce a novel opto-electronic CAM (OE-CAM) utilizing the integrated silicon photonic platform. In our approach, we explore the performance of an experimental OE-CAM and verify the efficiency of the device at 25 Gbit/s while maintaining the bit integrity under noise conditions. We show that OE-CAM enables a) two orders of magnitude faster search functionality resulting in b) a five orders of magnitude lower power-delay-product compared to CAMs implementations based on other emerging technologies. This remarkable performance potential is achieved by utilizing i) a high parallelism of wavelength-division-multiplexing in the optical domain, combined with ii) 10's of GHz-fast opto-electronic components, packaged in iii) integrated photonics for 10-100's ps-short communication delays. We further verify the upper optical input power limit of this OE-CAM to be given by parasitic nonlinearities inside the silicon waveguides, and the minimal detectable optical power at the back-end photoreceiver's responsivity given channel noise. Such energy-efficient and short-delay OE-CAMs could become a key component of functional photonic-augmented ASICS, co-processors, or smart sensors. © IEEE

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2020. Vol. 12, no 2, article id 6600114
Keywords [en]
Content addressable memory (CAM), integrated photonics, optical memory, optical lookup, microring Resonators
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-43445DOI: 10.1109/JPHOT.2020.2966748ISI: 000526520600001Scopus ID: 2-s2.0-85081657145OAI: oai:DiVA.org:hh-43445DiVA, id: diva2:1501556
Available from: 2020-11-17 Created: 2020-11-17 Last updated: 2022-09-28Bibliographically approved

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Alkabani, Yousra

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