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Tpu v4: An optically reconfigurable supercomputer for machine learning with hardware support for embeddings
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 …
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
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 …
production deployments of lightwave fabrics used for both datacenter networking and …
OnceNAS: Discovering efficient on-device inference neural networks for edge devices
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 …
edge for privacy protection and reduced transmission, but deploying resource-intensive …
Easter: Learning to split transformers at the edge robustly
Prevalent large transformer models present significant computational challenges for
resource-constrained devices at the Edge. While distributing the workload of deep learning …
resource-constrained devices at the Edge. While distributing the workload of deep learning …
Rankitect: Ranking architecture search battling world-class engineers at meta scale
Neural Architecture Search (NAS) has demonstrated its efficacy in computer vision and
potential for ranking systems. However, prior work focused on academic problems, which …
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 …
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 …
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
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 …
initialize the transformer, as their existing representation power facilitates faster model …