Results 101 to 110 of about 3,147,688 (366)

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

Multi-task Parallel Algorithm for DSRC [PDF]

open access: yesProcedia Computer Science, 2014
AbstractMulti-task parallel algorithm is applied to accelerate the program of DNA Sequence Reads Compressor (DSRC), which is specialized for compressing DNA sequencing data file - FASTQ format file. The compression process is first divided into two parallel tasks: data process task and data input task.
Wang Ting   +3 more
openaire   +1 more source

Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen   +9 more
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

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley   +1 more source

Selective Update for Hardware‐Friendly On‐Chip Training in Distributed Analog In‐Memory Computing Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang   +3 more
wiley   +1 more source

Design of FPGA-Based Accelerator for Convolutional Neural Network under Heterogeneous Computing Framework with OpenCL

open access: yesInternational Journal of Reconfigurable Computing, 2018
CPU has insufficient resources to satisfy the efficient computation of the convolution neural network (CNN), especially for embedded applications. Therefore, heterogeneous computing platforms are widely used to accelerate CNN tasks, such as GPU, FPGA ...
Li Luo   +9 more
doaj   +1 more source

Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer

open access: yesAdvanced Intelligent Systems, EarlyView.
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang   +5 more
wiley   +1 more source

Symbolic Reservoir Computing within Memristive Crossbar Arrays as a Cellular Automata

open access: yesAdvanced Intelligent Systems, EarlyView.
In quest of a neuro‐symbolic system with both strong intelligent computing capability and better explainability, a memristor crossbar array‐based cellular automata (symbolic model) for reservoir computing (neural network) is proposed and experimentally demonstrated using an algorithm–hardware codesign approach.
Yunpeng Guo   +8 more
wiley   +1 more source

Scalable deep text comprehension for Cancer surveillance on high-performance computing

open access: yesBMC Bioinformatics, 2018
Background Deep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and computationally demanding models trained by larger and larger data sets.
John X. Qiu   +8 more
doaj   +1 more source

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