Tpu v4: An optically reconfigurable supercomputer for machine learning with hardware support for embeddings

N Jouppi, G Kurian, S Li, P Ma, R Nagarajan… - Proceedings of the 50th …, 2023 - dl.acm.org
In response to innovations in machine learning (ML) models, production workloads changed
radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) and its …

Lightwave fabrics: at-scale optical circuit switching for datacenter and machine learning systems

H Liu, R Urata, K Yasumura, X Zhou… - Proceedings of the …, 2023 - dl.acm.org
We describe our experience develo** what we believe to be the world's first large-scale
production deployments of lightwave fabrics used for both datacenter networking and …

OnceNAS: Discovering efficient on-device inference neural networks for edge devices

Y Zhang, Y Qin, Y Zhang, X Zhou, S Jian, Y Tan… - Information Sciences, 2024 - Elsevier
Edge Intelligence (EI) offers an attractive approach for local AI processing at the network
edge for privacy protection and reduced transmission, but deploying resource-intensive …

Easter: Learning to split transformers at the edge robustly

X Guo, Q Jiang, Y Shen, AD Pimentel… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Prevalent large transformer models present significant computational challenges for
resource-constrained devices at the Edge. While distributing the workload of deep learning …

Rankitect: Ranking architecture search battling world-class engineers at meta scale

W Wen, KH Liu, I Fedorov, X Zhang, H Yin… - … Proceedings of the …, 2024 - dl.acm.org
Neural Architecture Search (NAS) has demonstrated its efficacy in computer vision and
potential for ranking systems. However, prior work focused on academic problems, which …

[PDF][PDF] Distributed DNN inference at the edge

X Guo - 2025 - pure.uva.nl
The artificial intelligence (AI) revolution represents a significant chapter in the evolution of
computer science, transforming a broad range of sectors with applications in image …

Prediksi Wilayah Rawan Kebakaran Menggunakan Deep Learning

A Zuhdi, MSU Sp - TEKNIKA, 2024 - jurnal.polsri.ac.id
Kebakaran hutan dan lahan merupakan masalah serius yang dapat merusak ekosistem,
mengancam satwa liar, dan menyebabkan kerugian ekonomi. Penelitian ini bertujuan untuk …

TripLe: revisiting pretrained model reuse and progressive learning for efficient vision transformer scaling and searching

C Fu, H Huang, Z Jiang, Y Ni, L Nai… - Proceedings of the …, 2023 - openaccess.thecvf.com
One promising way to accelerate transformer training is to reuse small pretrained models to
initialize the transformer, as their existing representation power facilitates faster model …