Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion

Autor: Amlan Ganguly, Sergi Abadal, Ishan Thakkar, Natalie Enright Jerger, Marc Riedel, Masoud Babaie, Rajeev Balasubramonian, Abu Sebastian, Sudeep Pasricha, Baris Taskin
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla
Rok vydání: 2022
Předmět:
Zdroj: IEEE Micro
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IEEE Micro, 42(3)
ISSN: 1937-4143
0272-1732
DOI: 10.1109/mm.2022.3150684
Popis: 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.
Databáze: OpenAIRE