Paper Info
Title
QoS management on heterogeneous architecture for parallel applications
Abstract
Quality of service (QoS) management is widely employed to provide differentiable performance to programs with distinctive priorities on conventional chip multi-processor (CMP) platforms. Recently, heterogeneous architecture integrating diverse processor cores on the same silicon has been proposed to better serve various application domains and it is expected to be an important design paradigm of future processors. Therefore, the QoS management on emerging heterogeneous systems will be of great significance. On the other hand, parallel applications are becoming increasingly important in modern computing community in order to explore the benefit of thread-level parallelism on CMPs. However, considering the diverse characteristics of thread synchronization, data sharing, and parallelization pattern, governing the execution of multiple parallel programs with different performance requirements becomes a complicated yet significant problem. In this paper, we study QoS management for parallel applications running on heterogeneous CMP systems. We comprehensively assess a series of task-to-core mapping policies on a real heterogeneous hardware (QuickIA) by characterizing their impacts on performance of individual applications. Our evaluation results show that the proposed QoS policies are effective to improve the performance of programs with highest priority while striking good tradeoff with system fairness.
Year
DOI
Venue
2014
10.1109/ICCD.2014.6974702
ICCD
Keywords
DocType
ISSN
real heterogeneous hardware,parallel processing,heterogeneous architecture,quality-of-service,quality of service,parallelization pattern,processor cores,quality of service management,chip multiprocessor platforms,multiprocessing systems,task-to-core mapping policies,Heterogeneous,QoS policies,thread-level parallelism,QoS management,parallel applications,thread synchronization,QuickIA,CMP platforms,parallel application,data sharing
Conference
1063-6404
Citations 
PageRank 
References 
2
0.36
15
Authors
6
Name
Order
Citations
PageRank
Ying Zhang1798.05
Li Zhao260434.84
Ramesh Illikkal348133.98
Ravishankar K. Iyer4111975.72
Andrew Herdrich5494.10
Lu Peng611521.69