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Related papers: 3D photonics for ultra-low energy, high bandwidth-…

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Photonic computing has emerged as a promising solution for accelerating computation-intensive artificial intelligence (AI) workloads. However, limited reconfigurability, high electrical-optical conversion cost, and thermal sensitivity limit…

Hardware Architecture · Computer Science 2024-07-09 Ziang Yin , Nicholas Gangi , Meng Zhang , Jeff Zhang , Rena Huang , Jiaqi Gu

Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging on light's unique properties, such as large bandwidth, low latency, and potentially low power consumption. Nevertheless, the integrated optical…

Massive multiple-input multiple-output (MIMO) systems are considered as one of the leading technologies employed in the next generations of wireless communication networks (5G), which promise to provide higher spectral efficiency, lower…

Emerging Technologies · Computer Science 2021-07-21 Mahsa Salmani , Armaghan Eshaghi , Enxiao Luan , Sreenil Saha

With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projection) with colorful requirements, current networks (e.g., 4G…

Networking and Internet Architecture · Computer Science 2020-12-08 Helin Yang , Arokiaswami Alphones , Zehui Xiong , Dusit Niyato , Jun Zhao , Kaishun Wu

Optical interconnects are the most promising solution to address the data-movement bottleneck in data centers. Silicon microdisks, benefiting from their compact footprint, low energy consumption, and wavelength division multiplexing (WDM)…

Optics · Physics 2025-10-28 Chao Luan , Alex Sludds , Chao Li , Ian Christen , Ryan Hamerly , Dirk Englund

Photonics is a promising technology to accelerate Deep Neural Networks as it can use optical interconnects to reduce data movement energy and it enables low-energy, high-throughput optical-analog computations. To realize these benefits in a…

Emerging Technologies · Computer Science 2024-11-01 Tanner Andrulis , Gohar Irfan Chaudhry , Vinith M. Suriyakumar , Joel S. Emer , Vivienne Sze

The convergence of Artificial Intelligence (AI) and the Internet of Things has accelerated the development of distributed, network-sensitive applications, necessitating ultra-low latency, high throughput, and real-time processing…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-21 Kurt Horvath , Shpresa Tuda , Blerta Idrizi , Stojan Kitanov , Fisnik Doko , Dragi Kimovski

Photonic integrated circuits are finding use in a variety of applications including optical transceivers, LIDAR, bio-sensing, photonic quantum computing, and Machine Learning (ML). In particular, with the exponentially increasing sizes of…

Emerging Technologies · Computer Science 2024-01-11 Farbin Fayza , Satyavolu Papa Rao , Darius Bunandar , Udit Gupta , Ajay Joshi

Artificial intelligence (AI) is playing an increasingly significant role in our everyday lives. This trend is expected to continue, especially with recent pushes to move more AI to the edge. However, one of the biggest challenges associated…

Machine Learning · Computer Science 2020-11-18 Cory Merkel

Driven by the growing demand for large-scale artificial intelligence applications, disaggregated compute nodes and high-radix switches in next-generation computing clusters are set to surpass the capacity of current optical interconnect…

Over the last decade, artificial intelligence has found many applications areas in the society. As AI solutions have become more sophistication and the use cases grew, they highlighted the need to address performance and energy efficiency…

Emerging Technologies · Computer Science 2021-03-09 Eren Kurshan , Hai Li , Mingoo Seok , Yuan Xie

Photonics is becoming a cornerstone technology for high-performance AI systems and scientific computing, offering unparalleled speed, parallelism, and energy efficiency. Despite this promise, the design and deployment of electronic-photonic…

Optics · Physics 2026-01-05 Hongjian Zhou , Ziang Yin , Jiaqi Gu

Neural networks have proven effective for solving many difficult computational problems. Implementing complex neural networks in software is very computationally expensive. To explore the limits of information processing, it will be…

Neural and Evolutionary Computing · Computer Science 2017-04-20 Jeffrey M. Shainline , Sonia M. Buckley , Richard P. Mirin , Sae Woo Nam

Fully Homomorphic Encryption (FHE) facilitates secure computations on encrypted data but imposes significant demands on memory bandwidth and computational power. While current FHE accelerators focus on optimizing computation, they often…

Emerging Technologies · Computer Science 2025-06-17 Dewan Saiham , Di Wu , Sazadur Rahman

The massive use of artificial neural networks (ANNs), increasingly popular in many areas of scientific computing, rapidly increases the energy consumption of modern high-performance computing systems. An appealing and possibly more…

The very DNA of AI architecture presents conflicting paths: centralized cloud-based models (Software-as-a-Service) versus decentralized edge AI (local processing on consumer devices). This paper analyzes the competitive battleground across…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-17 Rhea Pritham Marpu , Kevin J McNamara , Preeti Gupta

Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale. As the demands of performance and integration level keep…

Optics · Physics 2019-01-28 Kan Yao , Rohit Unni , Yuebing Zheng

This paper presents the Photonic FabricTM and the Photonic Fabric ApplianceTM (PFA), a photonic-enabled switch and memory subsystem that delivers low latency, high bandwidth, and low per-bit energy. By integrating high-bandwidth HBM3E…

Performance · Computer Science 2025-07-24 Jing Ding , Trung Diep

The thriving of artificial intelligence (AI) applications is driving the further evolution of wireless networks. It has been envisioned that 6G will be transformative and will revolutionize the evolution of wireless from "connected things"…

Information Theory · Computer Science 2024-10-28 Khaled B. Letaief , Yuanming Shi , Jianmin Lu , Jianhua Lu

In an age overrun with information, the ability to process reams of data has become crucial. The demand for data will continue to grow as smart gadgets multiply and become increasingly integrated into our daily lives. Next-generation…