Results 101 to 110 of about 109,285 (289)

Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism

open access: hybrid, 2023
Łukasz Szustak   +5 more
openalex   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things

open access: yesIET Communications, EarlyView., 2022
Abstract The goal of this work is to investigate how the self‐awareness characteristic of autonomic computing, paired with existing performance optimization rules, may be used in applications to minimise multi‐core processor performance concerns. The suggested self‐awareness technique can assist applications in self‐execution while also assisting other
Surendra Kumar Shukla   +8 more
wiley   +1 more source

MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for\n scaling Deep Learning [PDF]

open access: green, 2018
Amith R Mamidala   +3 more
openalex   +1 more source

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

open access: yesAdvanced 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

An ant colony genetic fusion routing algorithm based on soft define network

open access: yesIET Networks, EarlyView., 2022
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley   +1 more source

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

open access: yesAdvanced 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

Towards high performance computing for molecular structure prediction using IBM Cell Broadband Engine - an implementation perspective

open access: yesBMC Bioinformatics, 2010
Background RNA structure prediction problem is a computationally complex task, especially with pseudo-knots. The problem is well-studied in existing literature and predominantly uses highly coupled Dynamic Programming (DP) solutions.
Veeravalli Bharadwaj   +2 more
doaj   +1 more source

A Survey on Task Scheduling Algorithms in Cloud Computing for Fast Big Data Processing

open access: yesInternational Journal of Information and Communication Technology Research, 2021
The recent explosion of data of all kinds (persistent and short-lived) have imposed processing speed constraints on big data processing systems (BDPSs).
Zahra Jalalian, Mohsen Sharifi
doaj  

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

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