DocumentCode :
579921
Title :
A Multi-time Sharing Scheme in Optimal Memory Time Partitioning for Chip-Multiprocessors
Author :
Hao, Li ; Tao, Liu ; Guanghui, Liu ; Lunguo, Xie
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2012
fDate :
3-5 Nov. 2012
Firstpage :
576
Lastpage :
581
Abstract :
When there are several concurrently executing applications in Chip-Multiprocessor (CMP), it´s a problem to allocate cache resource between these applications. Cache partitioning is commonly used to solve this problem. Most of the existing partitioning schemes is to reduce the miss rate of concurrently executing applications, but the optimal miss rate does not mean the best performance. This paper presents a Multi-Time Sharing (MTS) scheme based on Optimal Memory Time cache Partitioning (OMTP) to improve the overall performance and the fairness metrics of concurrently executing applications. the MTS scheme uses dynamic weighted values to implement multiple time sharing. the experiment results show that OMTP has higher miss rate compared with utility-based cache partitioning (UCP) but has better IPC throughput and weighted speedup, the MTS scheme used in OMTP can improve both fairness and performance.
Keywords :
cache storage; concurrency control; microprocessor chips; multiprocessing systems; resource allocation; storage management; CMP; IPC throughput; OMTP; UCP; cache resource allocation; chip-multiprocessors; concurrent application execution; dynamic weighted value; fairness metrics; multiple time sharing; multitime sharing scheme; optimal memory time partitioning; utility-based cache partitioning; Benchmark testing; Equations; Hardware; Mathematical model; Measurement; Partitioning algorithms; Throughput; Chip-Multiprocessor; cache partitioning; multi-time sharing; optimal memory time partitioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
Type :
conf
DOI :
10.1109/CICN.2012.19
Filename :
6375179
Link To Document :
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