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oai:recercat.cat:2117/3675242026-01-28T02:22:46Zcom_2072_1033col_2072_452950

Interconnects for DNA, quantum, in-memory and optical computing: insights from a panel discussion Ganguly, Amlan Abadal Cavallé, Sergi Thakkar, Ishan Enright Jerger, Natalie Riedel, Marc Babaie, Masoud Balasubramonian, Rajeev Sebastian, Abu Pasricha, Sudeep Taskin, Baris Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors Universitat Politècnica de Catalunya. CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors Quantum computers Deep learning Wireless communications systems DNA computing Optical computing Quantum computing In-Memory computing Photonic interconnects Wireless interconnects Ordinadors quàntics Aprenentatge profund Comunicació sense fil, Sistemes de 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 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. This work was supported in part by the US NSF CAREER Grant CNS-1553264 and EU H2020 research and innovation programme under Grant 863337. Peer Reviewed Postprint (author's final draft) 2022-06 Article Ganguly, A. [et al.]. Interconnects for DNA, quantum, in-memory and optical computing: insights from a panel discussion. "IEEE micro", Maig-Juny 2022, vol. 42, núm. 3, p. 40-49. 1937-4143 https://hdl.handle.net/2117/367524 10.1109/MM.2022.3150684 eng https://ieeexplore.ieee.org/document/9714013 info:eu-repo/grantAgreement/EC/H2020/863337/EU/Architecting More Than Moore – Wireless Plasticity for Heterogeneous Massive Computer Architectures/WiPLASH Open Access 11 p. application/pdf