Title :
Online scheduling algorithm with reconfigurable resource management based on vertex position tree
Author :
Chunsheng Li ; Chao Wang ; Xuehai Zhou ; Ruimin Yang
Author_Institution :
Sch. of Comput. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
In reconfigurable computing, more tasks could be executed in parallel on the limited hardware resources by time multiplexing. Finding the available start time and appropriate placement position for arrival tasks is the key point of online reconfigurable scheduling. In this paper, we introduce an online scheduling algorithm with reconfigurable resource management. Vertex position tree - a new date structure, and fragmentation shape edges - a simple and intuitive evaluating function etc. are introduced in resource management. Meanwhile, priority greedy scheduling policy is used for online tasks. Under the premise of reducing the complexity of space and time, the algorithm utilizes hardware resources more efficiently, and has higher tasks accept ratio shown by the simulation results.
Keywords :
parallel processing; reconfigurable architectures; scheduling; date structure; greedy scheduling policy; online reconfigurable scheduling; online scheduling algorithm; reconfigurable computing; reconfigurable resource management; shape edge fragmentation; time multiplexing; vertex position tree; Algorithm design and analysis; Arrays; Hardware; Resource management; Runtime; Scheduling algorithms; Shape; online scheduling; reconfigurable computing; resource management; task placement; tasks accept ratio;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
DOI :
10.1109/PIC.2014.6972400