DocumentCode :
2537275
Title :
Task Assignment with Cache Partitioning and Locking for WCET Minimization on MPSoC
Author :
Liu, Tiantian ; Zhao, Yingchao ; Li, Minming ; Xue, Chun Jason
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong, Kong Hong, China
fYear :
2010
fDate :
13-16 Sept. 2010
Firstpage :
573
Lastpage :
582
Abstract :
Cache is known for its unpredictability in embedded systems. Cache locking technique is often utilized to guarantee a tighter prediction of Worst-Case Execution Time (WCET) which is one of the most important performance metrics for embedded systems. However, in Multi-Processor Systems-on-Chip (MPSoC) systems with multi-tasks, Level 2 (L2) cache is often shared among different tasks and cores, which leads to higher complexity in the cache management and extended unpredictability of cache. Task assignment has inherent relevancy for cache behavior, while cache behavior also affects the efficiency of task assignment. Task assignment and cache behavior have dramatic influences on the overall WCET of MPSoC. In this paper, overall WCET represents the worst-case finishing time of a set of tasks running on different cores. This paper proposes joint task assignment and cache partitioning techniques to minimize the overall WCET for MPSoC systems. Cache locking is applied to each task to guarantee a precise WCET, which in return facilitates task assignment and cache partitioning. We prove that the joint problem is NP-Hard and propose several efficient algorithms. Experimental results show that the proposed algorithms can consistently reduce the overall WCET compared to previous techniques.
Keywords :
cache storage; computational complexity; embedded systems; multiprocessing systems; system-on-chip; MPSoC system; NP-hard problem; WCET minimization; cache locking technique; cache management; cache partitioning; cache partitioning techniques; embedded system; joint task assignment; multiprocessor systems-on-chip systems; worst case execution time; Approximation algorithms; Embedded system; Heuristic algorithms; Joints; Measurement; Minimization; Partitioning algorithms; Cache partitioning; MPSoC; Task assignment; Worst-case analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing (ICPP), 2010 39th International Conference on
Conference_Location :
San Diego, CA
ISSN :
0190-3918
Print_ISBN :
978-1-4244-7913-9
Electronic_ISBN :
0190-3918
Type :
conf
DOI :
10.1109/ICPP.2010.65
Filename :
5599250
Link To Document :
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