Results 41 to 50 of about 48,693 (302)

Bandwidth-optimal random shuffling for GPUs [PDF]

, 2022
Linear-time algorithms that are traditionally used to shuffle data on CPUs, such as the method of Fisher-Yates, are not well suited to implementation on GPUs due to inherent sequential dependencies, and existing parallel shuffling algorithms are ...
Stokes, Daniel, Mitchell, Rory, Holmes, Geoffrey, Frank, Eibe   +3 more
core   +1 more source

Perspective: an optoelectronic future for heterogeneous, dendritic computing

Frontiers in Neuroscience
With the increasing number of applications reliant on large neural network models, the pursuit of more suitable computing architectures is becoming increasingly relevant.
Luis El Srouji, Mahmoud Abdelghany, Hari Rakul Ambethkar, Yun-Jhu Lee, Mehmet Berkay On, S. J. Ben Yoo   +5 more
doaj   +1 more source

The bandwidth theorem for locally dense graphs

Forum of Mathematics, Sigma, 2020
The bandwidth theorem of Böttcher, Schacht, and Taraz [Proof of the bandwidth conjecture of Bollobás and Komlós, Mathematische Annalen, 2009] gives a condition on the minimum degree of an n-vertex graph G that ensures G contains every r-chromatic graph H
Katherine Staden, Andrew Treglown
doaj   +1 more source

Large-Scale Reconfigurable Integrated Circuits for Wideband Analog Photonic Computing

Photonics, 2023
Photonic integrated circuits (PICs) have been a research hotspot in recent years. Programmable PICs that have the advantages of versatility and reconfigurability that can realize multiple functions through a common structure have been especially popular.
Yuhan Yao, Yanxian Wei, Jianji Dong, Ming Li, Xinliang Zhang   +4 more
doaj   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Scalable reservoir computing on coherent linear photonic processor

Communications Physics, 2021
Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an ...
Mitsumasa Nakajima, Kenji Tanaka, Toshikazu Hashimoto   +2 more
doaj   +1 more source

A Novel Decomposed Optical Architecture for Satellite Terrestrial Network Edge Computing

Mathematics, 2022
Aiming at providing a high-performance terrestrial network for edge computing in satellite networks, we experimentally demonstrate a high bandwidth and low latency decomposed optical computing architecture based on distributed Nanoseconds Optical ...
Xiaotao Guo, Ying Zhang, Yu Jiang, Shenggang Wu, Hengnian Li   +4 more
doaj   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

SatFed: A Resource-Efficient LEO-Satellite-Assisted Heterogeneous Federated Learning Framework

Engineering
Traditional federated learning (FL) frameworks rely heavily on terrestrial networks, whose coverage limitations and increasing bandwidth congestion significantly hinder model convergence.
Yuxin Zhang, Zheng Lin, Zhe Chen, Zihan Fang, Xianhao Chen, Wenjun Zhu, Jin Zhao, Yue Gao   +7 more
doaj   +1 more source

Recent advances in mobile edge computing and content caching

Digital Communications and Networks, 2020
The demand for digital media services is increasing as the number of wireless subscriptions is growing exponentially. In order to meet this growing need, mobile wireless networks have been advanced at a tremendous pace over recent days.
Sunitha Safavat, Naveen Naik Sapavath, Danda B. Rawat   +2 more
doaj   +1 more source