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Journal article
Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion
IEEE MICRO, v 42(3), pp 40-49
May 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The computing world is witnessing a proverbial Cambrian explosion of emerging paradigms propelled by applications, such as artificial intelligence, big data, and cybersecurity. The recent advances in technology to store digital data inside a deoxyribonucleic acid (DNA) strand, manipulate quantum bits (qubits), perform logical operations with photons, and perform computations inside memory systems are ushering in the era of emerging paradigms of DNA computing, quantum computing, optical computing, and in-memory computing. In an orthogonal direction, research on interconnect design using advanced electro-optic, wireless, and microfluidic technologies has shown promising solutions to the architectural limitations of traditional von-Neumann computers. In this article, experts present their comments on the role of interconnects in the emerging computing paradigms, and discuss the potential use of chiplet-based architectures for the heterogeneous integration of such technologies.
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Details
- Title
- Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion
- Creators
- Amlan Ganguly - Rochester Institute of TechnologySergi Abadal - Universitat Politècnica de CatalunyaIshan Thakkar - University of KentuckyNatalie Enright Jerger - University of TorontoMarc Riedel - University of MinnesotaMasoud Babaie - Delft University of TechnologyRajeev Balasubramonian - University of UtahAbu Sebastian - IBM Research - ZurichSudeep Pasricha - Colorado State UniversityBaris Taskin - Drexel University
- Publication Details
- IEEE MICRO, v 42(3), pp 40-49
- Publisher
- IEEE
- Grant note
- CNS-1553264 / National Science Foundation (10.13039/100000001) 863337 / EU
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000798189700006
- Scopus ID
- 2-s2.0-85124827122
- Other Identifier
- 991019168204304721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Software Engineering