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NBTI aging effect can increase the path delay of network-on-chip (NoC) device, resulting in the decreased frequency of processor core and in turn its performance degradation. Under this circumstance, aging-aware task scheduling becomes a complex and challenging problem in advanced multicore systems. This paper presents an aging-aware scheduling method that incorporates NBTI aging effect into the task scheduling framework for mesh-based NoCs. The proposed method relies on a NBTI aging model to evaluate the degradation of core\u2019s operating frequency to establish the task scheduling model under aging effect. Taking into account core performance degradation and the communication overheads among cores, we develop a meta-heuristic scheduling strategy based on particle swarm optimization algorithm to minimize the total execution time of all tasks. Experimental results show that the schedule obtained by the aging-aware algorithm has shorter completion time and higher throughput compared with the nonaging-aware case. On average, the makespan can be reduced by 13.55% and the throughput can be increased by 21.73% for a variety of benchmark applications. <\/jats:p>","DOI":"10.1142\/s0218126619501469","type":"journal-article","created":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T22:42:32Z","timestamp":1537137752000},"page":"1950146","source":"Crossref","is-referenced-by-count":3,"title":["Aging-Aware Task Scheduling for Mesh-Based Network-on-Chips Under Aging Effect"],"prefix":"10.1142","volume":"28","author":[{"given":"Jinbin","family":"Tu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, Jiangsu 210094, P. R. 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