TY - JOUR
T1 - Interconnects for DNA, Quantum, In-Memory and Optical Computing
T2 - Insights from a Panel Discussion
AU - Ganguly, Amlan
AU - Abadal, Sergi
AU - Thakkar, Ishan
AU - Enright Jerger, Natalie
AU - Riedel, Marc
AU - Babaie, Masoud
AU - Balasubramonian, Rajeev
AU - Sebastian, Abu
AU - Pasricha, Sudeep
AU - Taskin, Baris
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Computers
KW - Deep learning
KW - DNA
KW - DNA Computing
KW - In-Memory Computing
KW - Integrated circuit interconnections
KW - Optical Computing
KW - Photonic Interconnects
KW - Quantum Computing
KW - Qubit
KW - Topology
KW - Wireless communication
KW - Wireless Interconnects
UR - http://www.scopus.com/inward/record.url?scp=85124827122&partnerID=8YFLogxK
U2 - 10.1109/MM.2022.3150684
DO - 10.1109/MM.2022.3150684
M3 - Article
AN - SCOPUS:85124827122
SN - 0272-1732
VL - 42
SP - 40
EP - 49
JO - IEEE Micro
JF - IEEE Micro
IS - 3
ER -