Photonic (computational) memories: tunable nanophotonics for data storage and computing
The exponential growth of information stored in data centers and computational power
required for various data-intensive applications, such as deep learning and AI, call for new …
required for various data-intensive applications, such as deep learning and AI, call for new …
Optical RAM and integrated optical memories: a survey
T Alexoudi, GT Kanellos, N Pleros - Light: Science & Applications, 2020 - nature.com
The remarkable achievements in the area of integrated optical memories and optical
random access memories (RAMs) together with the rapid adoption of optical interconnects in …
random access memories (RAMs) together with the rapid adoption of optical interconnects in …
2D materials for future heterogeneous electronics
Graphene and two-dimensional materials (2DM) remain an active field of research in
science and engineering over 15 years after the first reports of 2DM. The vast amount of …
science and engineering over 15 years after the first reports of 2DM. The vast amount of …
[HTML][HTML] Analog optical computing for artificial intelligence
The rapid development of artificial intelligence (AI) facilitates various applications from all
areas but also poses great challenges in its hardware implementation in terms of speed and …
areas but also poses great challenges in its hardware implementation in terms of speed and …
A monolithic bipolar CMOS electronic–plasmonic high-speed transmitter
U Koch, C Uhl, H Hettrich, Y Fedoryshyn… - Nature …, 2020 - nature.com
To address the challenge of increasing data rates, next-generation optical communication
networks will require the co-integration of electronics and photonics. Heterogeneous …
networks will require the co-integration of electronics and photonics. Heterogeneous …
Neuromorphic silicon photonics and hardware-aware deep learning for high-speed inference
M Moralis-Pegios… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
The relentless growth of Artificial Intelligence (AI) workloads has fueled the drive towards
non-Von Neuman architectures and custom computing hardware. Neuromorphic photonic …
non-Von Neuman architectures and custom computing hardware. Neuromorphic photonic …
Time‐multiplexed control of programmable silicon photonic circuits enabled by monolithic CMOS electronics
Programmable photonic circuits require an electronic control layer to configure and stabilize
the optical functionality at run‐time. Such control action is normally implemented by …
the optical functionality at run‐time. Such control action is normally implemented by …
Albireo: Energy-efficient acceleration of convolutional neural networks via silicon photonics
With the end of Dennard scaling, highly-parallel and specialized hardware accelerators
have been proposed to improve the throughput and energy-efficiency of deep neural …
have been proposed to improve the throughput and energy-efficiency of deep neural …
Control and calibration recipes for photonic integrated circuits
M Milanizadeh, S Ahmadi, M Petrini… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This article presents the key ingredients and the best practices for implementing simple,
effective and robust control and calibration procedures for arbitrary photonic integrated …
effective and robust control and calibration procedures for arbitrary photonic integrated …
Nanosystems, edge computing, and the next generation computing systems
A Passian, N Imam - Sensors, 2019 - mdpi.com
It is widely recognized that nanoscience and nanotechnology and their subfields, such as
nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on …
nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on …