Suchergebnisse - Task decomposition strategies and programming

An approach to task-based parallel programming for undergraduate students von Ayguadé, Eduard, Jiménez-González, Daniel

“… ” loop-based approach, which is the focus of parallel programming courses in other universities, this course presents the parallel programming concepts using a task-based approach …”
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Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System von Huang, Tsung-Wei, Lin, Dian-Lun, Lin, Chun-Xun, Lin, Yibo

“… Taskflow introduces an expressive task graph programming model to assist developers in the implementation of parallel and heterogeneous decomposition strategies on a heterogeneous computing platform …”
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Cpp-Taskflow: A General-Purpose Parallel Task Programming System at Scale von Huang, Tsung-Wei, Lin, Yibo, Lin, Chun-Xun, Guo, Guannan, Wong, Martin D. F.

“… Cpp-Taskflow leverages the power of modern C++ and task-based approaches to enable efficient implementations of parallel decomposition strategies …”
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Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks von Cang, Yihan, Chen, Ming, Pan, Yijin, Yang, Zhaohui, Hu, Ye, Sun, Haijian, Chen, Mingzhe

“… ) networks is studied. In such networks, edge devices will offload their computational tasks to an MEC server, using the energy they harvest from this server …”
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Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms von Chiu, Cheng-Hsiang, Lin, Dian-Lun, Huang, Tsung-Wei

“… control flow, such as branch-and-bound techniques, on-the-fly pruning, and recursive decomposition strategies …”
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Problem Decomposition Strategies and Credit Distribution Mechanisms in Modular Genetic Programming for Supervised Learning von Rodriguez-Coayahuitl, Lino, Rodriguez-Gonzalez, Ansel Y., Fajardo-Delgado, Daniel, Cervantes, Maria Guadalupe Sanchez

“… In this review article, we provide a comprehensive guide to the endeavor of problem decomposition within the field of Genetic Programming (GP …”
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Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization von Cui, Guosheng, Wang, Ruxin, Wu, Dan, Li, Ye

“… Matrix factorization has demonstrated promising performance in the incomplete multiview clustering (IMC) tasks …”
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A branch-and-price algorithm for nanosatellite task scheduling to improve mission quality-of-service von Rigo, Cezar Antônio, Seman, Laio Oriel, Camponogara, Eduardo, Morsch Filho, Edemar, Bezerra, Eduardo Augusto, Munari, Pedro

“… •We present a B&P decomposition for task scheduling of satellites.•The decomposition allows to deal with larger instances than the original formulation …”
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Efficient Sensor Placement for Signal Reconstruction Based on Recursive Methods von Li, Bangjun, Liu, Haoran, Wang, Ruzhu

“… Selection of sparse sensors to recover the global signal field is a crucial task in many areas …”
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Stochastic programming-based mathematical model and solution strategy for chemical production scheduling with processing time uncertainty von Gao, Jingxing, Liu, Linlin, Dong, Yachao, Zhang, Lei, Zhuang, Yu, Du, Jian

“… •A novel STN-based stochastic programming model considering processing time uncertainty is proposed …”
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Collaborative Optimization Strategy for Dependent Task Offloading in Vehicular Edge Computing von Peng, Xiting, Zhang, Yandi, Zhang, Xiaoyu, Zhang, Chaofeng, Yang, Wei

“… This paper proposes a task-offloading scheme based on deep reinforcement learning to optimize the strategy between vehicles and edge computing resources …”
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Efficiency improvement of genetic network programming by tasks decomposition in different types of environments von Roshanzamir, Mohamad, Palhang, Maziar, Mirzaei, Abdolreza

“… Genetic Network Programming (GNP) is a relatively recently proposed evolutionary algorithm which is an extension of Genetic Programming (GP …”
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Problem Decomposition and Multi-shot ASP Solving for Job-shop Scheduling von EL-KHOLANY, MOHAMMED M. S., GEBSER, MARTIN, SCHEKOTIHIN, KONSTANTIN

“… Scheduling methods are important for effective production and logistics management, where tasks need to be allocated and performed with limited resources …”
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Task Planning and Optimization for Multi-Region Multi-UAV Cooperative Inspection von Xiong, Yangyilei, Tian, Haoyu, Tang, Jianing, Jin, Jie, Shen, Xiaoning

“… To improve the efficiency of multi-region multi-unmanned aerial vehicle (UAV) inspection, this paper proposes a composite task planning strategy integrating the K-Means++ genetic algorithm (KMGA …”
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Solving an airport ground service task assignment problem with an exact algorithm von Tian, Qiannan, Li, Jie, Huang, Guoxuan, Yuan, Wei

“… The objective is to maximize the summation of “benefit” for all the assigned tasks. The problem is modeled as an integer linear programming problem with mathematical formulation …”
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UAV-RIS Assisted Multiuser Communications Through Transmission Strategy Optimization: GBD Application von Huroon, Aamer Mohamed, Huang, Yu-Chih, Wang, Li-Chun

“… Based on the generalized Benders decomposition (GBD), we develop an algorithm to solve the problem efficiently for this mixed integer non-linear programming problem (MINLP) in two …”
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Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling von El-Kholany, Mohammed M. S., Gebser, Martin, Schekotihin, Konstantin

“… In this paper, we investigate problem decomposition into time windows whose operations can be successively scheduled and optimized by means of multi-shot Answer Set Programming (ASP) solving …”
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Joint Power Control and Task Offloading in Collaborative Edge-Cloud Computing Networks von Wang, Sai, Gong, Yi

“… Based on power control and task offloading, we formulate a mixed-integer nonlinear programming (MINLP …”
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Energy-Efficient Robust Computation Offloading for Fog-IoT Systems von Wu, Zhikun, Li, Bin, Fei, Zesong, Zheng, Zhong, Li, Bin, Han, Zhu

“… ). By wirelessly offloading all/part of the computational tasks from MDs to the infrastructure fog nodes, it addresses the contradiction between the limited battery capacity of MDs and their long …”
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Time-Constrained Task Allocation and Worker Routing in Mobile Crowd-Sensing Using a Decomposition Technique and Deep Q-Learning von Akter, Shathee, Dao, Thi-Nga, Yoon, Seokhoon

“… Mobile crowd-sensing (MCS) is a data collection paradigm, which recruits mobile users with smart devices to perform sensing tasks on a city-wide scale …”
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