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