Results 61 to 70 of about 3,076,045 (348)

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

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

IET 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, Bhaskar Pant, Wattana Viriyasitavat, Devvret Verma, Sandeep Kautish, Gaurav Dhiman, Amandeep Kaur, Kannan Srihari, Sachi Nandan Mohanty   +8 more
wiley   +1 more source

Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs

Oil & Gas Science and Technology, 2018
Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in the emergence of a large number of
Amela Ramon, Ramon-Cortes Cristian, Ejarque Jorge, Conejero Javier, Badia Rosa M.   +4 more
doaj   +1 more source

Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation

Algorithms, 2019
Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality.
Jonas R. Dourado, Jordão Natal de Oliveira Júnior, Carlos D. Maciel   +2 more
doaj   +1 more source

Reservation-Based Federated Scheduling for Parallel Real-Time Tasks

, 2017
This paper considers the scheduling of parallel real-time tasks with arbitrary-deadlines. Each job of a parallel task is described as a directed acyclic graph (DAG).
Agrawal, Kunal, Chen, Jian-Jia, Li, Jing, Ueter, Niklas, von der Brüggen, Georg   +4 more
core   +1 more source

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

Advanced Photonics Research, EarlyView.
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao   +5 more
wiley   +1 more source

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

IET 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

A Pipeline-Based ODE Solving Framework

IEEE Access
The traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism.
Ruixia Cao, Shangjun Hou, Lin Ma
doaj   +1 more source

Mapping the Join Calculus to Heterogeneous Hardware [PDF]

Electronic Proceedings in Theoretical Computer Science, 2013
As modern architectures introduce additional heterogeneity and parallelism, we look for ways to deal with this that do not involve specialising software to every platform.
Peter Calvert, Alan Mycroft
doaj   +1 more source

Alleviating the software parallelization task

, 2021
Despite decades of research into parallelizing compiler technology, software parallelization remains a largely manual task, which is complex, time-consuming, and error-prone. An embarrassingly parallel problem can be hidden behind a serial algorithm, thoughtless software design, or unsuccessfully chosen lower-level constructs, such as data structures ...
openaire   +2 more sources