DocumentCode :
3245371
Title :
Energy Minimization and Latency Hiding for Heterogeneous Parallel Memory
Author :
Meikang Qiu ; Gang Wu ; Jingtong Hu ; Wei-Che Tseng ; Sha, Edwin H-M
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY, USA
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
503
Lastpage :
510
Abstract :
Many high-performance DSP processors employ multi-module on-chip memory to improve performance and power consumption. This paper studies the scheduling and assignment problem that minimizes the total energy while satisfying performance for applications with loops. An algorithm, LSAMEM (Loop Scheduling and Assignment to Minimize Energy for Memory), is proposed. The algorithm attempts to maximum energy saving while satisfying timing constraint with guaranteed probability. The experimental results show that the average improvement on energy-saving is significant by using LSAMEM.
Keywords :
digital signal processing chips; minimisation; parallel memories; probability; processor scheduling; DSP processors; LSAMEM; assignment problem; energy minimization; energy saving; guaranteed probability; heterogeneous parallel memory; latency hiding; loop scheduling and assignment to minimize energy for memory; multimodule on-chip memory; power consumption; timing constraint; Delay; Digital signal processing; Embedded system; Energy consumption; Memory architecture; Processor scheduling; Real time systems; Scheduling algorithm; Signal processing algorithms; Timing; energy minimization; heterogeneous; latency hiding; memory; parallel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2009 15th International Conference on
Conference_Location :
Shenzhen
ISSN :
1521-9097
Print_ISBN :
978-1-4244-5788-5
Type :
conf
DOI :
10.1109/ICPADS.2009.132
Filename :
5395329
Link To Document :
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