Interconnects for DNA, Quantum, In-Memory and Optical Computing
Insights from a Panel Discussion
Amlan Ganguly (Rochester Institute of Technology)
Sergi Abadal (Universitat Politecnica de Catalunya)
Ishan Thakkar (University of Kentucky)
Natalie Enright Jerger (University of Toronto)
Marc Riedel (University of Minnesota Twin Cities)
Masoud Babaie (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Rajeev Balasubramonian (University of Utah)
Abu Sebastian (Zurich Lab)
Sudeep Pasricha (Colorado State University)
Baris Taskin (Drexel University)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
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.
help_outline