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This paper presents the research work on multicore microcontrollers using parallel, and time critical programming for the embedded systems. Due to the high complexity and limitations, it is very hard to work on the application development…

分布式、并行与集群计算 · 计算机科学 2015-04-13 Prerna Saini , Ankit Bansal , Abhishek Sharma

Real time system technology traditionally developed for safety critical systems, has now been extended to support multimedia systems and virtual reality. A large number of real-time application, related to multimedia and adaptive control…

操作系统 · 计算机科学 2012-12-17 Shri Prakash Dwivedi

Modern platforms are using accelerators in conjunction with standard processing units in order to reduce the running time of specific operations, such as matrix operations, and improve their performance. Scheduling on such hybrid platforms…

数据结构与算法 · 计算机科学 2020-02-11 Vincent Fagnon , Imed Kacem , Giorgio Lucarelli , Bertrand Simon

Heterogeneous multicore architectures are becoming increasingly popular due to their potential of achieving high performance and energy efficiency compared to the homogeneous multicore architectures. In such systems, the real-time…

操作系统 · 计算机科学 2014-05-29 Guangmo Tong , Cong Liu

The under exploitation of the available resources risks to be one of the main problems for a computing center. The growing demand of computational power necessarily entails more complex approaches in the management of the computing…

分布式、并行与集群计算 · 计算机科学 2012-05-01 Federico Calzolari , Silvia Volpe

In the world of embedded systems, optimizing actions with the uncertain costs of multiple resources is a complex challenge. Existing methods include plan building based on Monte Carlo Tree Search (MCTS), an approach that thrives in multiple…

系统与控制 · 电气工程与系统科学 2024-07-18 Franco Cordeiro , Samuel Tardieu , Laurent Pautet

Federated scheduling is a promising approach to schedule parallel real-time tasks on multi-cores, where each heavy task exclusively executes on a number of dedicated processors, while light tasks are treated as sequential sporadic tasks and…

分布式、并行与集群计算 · 计算机科学 2017-05-10 Xu Jiang , Nan Guan , Xiang Long , Wang Yi

The parallel machine scheduling problem has been a popular topic for many years due to its theoretical and practical importance. This paper addresses the robust makespan optimization problem on unrelated parallel machine scheduling with…

最优化与控制 · 数学 2020-10-23 Chutong Gao , Weihao Wang , Leyuan Shi

Multicore shared cache processors pose a challenge for designers of embedded systems who try to achieve minimal and predictable execution time of workloads consisting of several jobs. To address this challenge the cache is statically…

数据结构与算法 · 计算机科学 2012-11-26 Avinatan Hassidim , Haim Kaplan , Omry Tuval

Communication is a vital component for all swarm robotics applications, and even simple swarm robotics behaviours often break down when this communication is unreliable. Since wireless communications are inherently subject to interference…

机器人学 · 计算机科学 2023-10-05 Sven Signer , Ian Gray

We consider a parallel system of $m$ identical machines prone to unpredictable crashes and restarts, trying to cope with the continuous arrival of tasks to be executed. Tasks have different computational requirements (i.e., processing time…

分布式、并行与集群计算 · 计算机科学 2016-03-21 Elli Zavou , Antonio Fernández Anta

We study shared multi-processor scheduling problem where each job can be executed on its private processor and simultaneously on one of many processors shared by all jobs in order to reduce the job's completion time due to processing time…

离散数学 · 计算机科学 2021-03-05 Dariusz Dereniowski , Wieslaw Kubiak

The growing need for continuous processing capabilities has led to the development of multicore systems with a complex cache hierarchy. Such multicore systems are generally designed for improving the performance in average case, while hard…

操作系统 · 计算机科学 2013-12-17 Lilia Zaourar , Mathieu Jan , Maurice Pitel

Several works related to spatial crowdsourcing have been proposed in the direction where the task executers are to perform the tasks within the stipulated deadlines. Though the deadlines are set, it may be a practical scenario that majority…

计算工程、金融与科学 · 计算机科学 2024-02-08 Naren Debnath , Sajal Mukhopadhyay , Fatos Xhafa

The problem of distributing the workload on a parallel computer to minimize the overall runtime is known as Multiprocessor Scheduling Problem. It is NP-hard, but like many other NP-hard problems, the average hardness of random instances…

无序系统与神经网络 · 物理学 2016-08-19 Heiko Bauke , Stephan Mertens , Andreas Engel

The rigid gang task model is based on the idea of executing multiple threads simultaneously on a fixed number of processors to increase efficiency and performance. Although there is extensive literature on global rigid gang scheduling,…

分布式、并行与集群计算 · 计算机科学 2024-09-04 Binqi Sun , Tomasz Kloda , Marco Caccamo

This paper presents a novel methodology to develop scheduling algorithms. The scheduling problem is phrased as a control problem, and control-theoretical techniques are used to design a scheduling algorithm that meets specific requirements.…

系统与控制 · 计算机科学 2010-09-20 Carlo A. Furia , Alberto Leva , Martina Maggio , Paola Spoletini

An optimal solution to the problem of scheduling real-time tasks on a set of identical processors is derived. The described approach is based on solving an equivalent uniprocessor real-time scheduling problem. Although there are other…

操作系统 · 计算机科学 2011-04-19 Paul Regnier , George Lima , Ernesto Massa

This paper focuses on the analysis of real-time non preemptive multiprocessor scheduling with precedence and several latency constraints. It aims to specify a schedulability condition which enables a designer to check a priori -without…

操作系统 · 计算机科学 2013-01-22 Omar Kermia

When a major outage occurs on a distribution system due to extreme events, microgrids, distributed generators, and other local resources can be used to restore critical loads and enhance resiliency. This paper proposes a decision-making…

最优化与控制 · 数学 2019-01-16 Ying Wang , Yin Xu , Jinghan He , Chen-Ching Liu , Kevin P. Schneider , Mingguo Hong , Dan T. Ton