Results 101 to 110 of about 3,227,937 (329)

Distributed Memory Implementation of Bron-Kerbosch Algorithm

IEEE Access
This paper proposes a parallel implementation of the Bron-Kerbosch algorithm, which finds all maximal cliques in large, complex graphs using CPU and thread-level parallelism and distributed memory with multiple cores. With the growing size and complexity
Tejas Ravindra Rote, Murugan Krishnammorthy, Ansh Bhatia, Rishu Yadav, S. P. Raja   +4 more
doaj   +1 more source

A Comparison of some recent Task-based Parallel Programming Models [PDF]

, 2010
The need for parallel programming models that are simple to use and at the same time efficient for current ant future parallel platforms has led to recent attention to task-based models such as Cilk++, Intel TBB and the task concept in OpenMP version 3.0.
Brorsson, Mats, Faxén, Karl-Filip, Podobas, Artur   +2 more
core   +1 more source

Shape‐Memory Alloy Torsion Strips for Soft Robotic Manipulation and Morphing

Advanced Intelligent Systems, EarlyView.
In this research, a dedicated configuration of SMA strip is proposed for soft robotic manipulation and morphing. This configuration has broad application prospects and demonstrates remarkable advantages in soft body joint operations. Mimicking invertebrates, soft robots tend to control each of their body joints to achieve the desired shape changes and ...
Changchun Wu, Hao Liu, Senyuan Lin, Yunquan Li, James Lam, Ning Xi, Yonghua Chen   +6 more
wiley   +1 more source

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

Advanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

Factoring out ordered sections to expose thread-level parallelism [PDF]

, 2009
With the rise of multi-core processors, researchers are taking a new look at extending the applicability auto-parallelization techniques. In this paper, we identify a dependence pattern on which autoparallelization currently fails.
De Bosschere, Koen, Rul, Sean, Vandierendonck, Hans   +2 more
core   +1 more source

Towards Task-Parallel Reductions in OpenMP

, 2015
Reductions represent a common algorithmic pattern in many scientific applications. OpenMP* has always supported them on parallel and worksharing constructs. OpenMP 3.0’s tasking constructs enable new parallelization opportunities through the annotation of irregular algorithms.
Ciesko, Jan, Mateo, Sergi, Teruel, Xavier, Martorell Bofill, Xavier, Ayguadé Parra, Eduard, Labarta Mancho, Jesús José, Duran, Alex, De Supinski, Bronis, Olivier, Stephen, Li, Kelvin, Eichenberger, Alexandre   +10 more
openaire   +3 more sources

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

Advanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Ferroelectric Tunnel Junction Memristor Crossbar Array with Annealing Optimization for In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
A 48 × 48 ferroelectric tunnel junction (FTJ) crossbar array is fabricated and optimized through postmetallization annealing, enabling stable polarization switching and reliable multilevel conductance programming. Half‐bias operation, accurate vector–matrix multiplication with less than 1% error, and CIFAR‐10 image classification with near‐software ...
Sangwook Youn, Hwiho Hwang, Hyungjin Kim
wiley   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source