[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
research-article

Autonomic thread scaling library for QoS management

Published: 25 March 2016 Publication History

Abstract

Over the last years embedded system industry faced a revolution thanks to the introduction of multicores and heterogeneous devices. The availability of these new platforms opens new paths for these devices that can be nowadays used for more high demand tasks, exploiting the parallelism made available by the muticore processors. Nonetheless the progresses of the HW technology are not backed up by improvements of the SW side, and runtime mechanisms to manage resource allocation and contention on resources are still lacking the proper effectiveness. This paper tackles the problem of dynamic resource management from the application point of view and presents a user space library to control application performance. The control knob exploited by the library is the possibility of scaling the number of threads used by an application and seamlessly integrates with OpenMP. A case study illustrates the benefits that this library has in a classic embedded system scenario, introducing an overhead of less than 0.5%.

References

[1]
N. Rajovic et al., "Supercomputing with commodity cpus: are mobile socs ready for hpc?" in High Performance Computing, Networking, Storage and Analysis (SC), International Conf. for. IEEE, 2013.
[2]
L. Dagum et al., "Openmp: an industry standard api for shared-memory programming," Computational Science & Engineering, IEEE, vol. 5, no. 1, 1998.
[3]
A. Sharifi et al., "Mete: meeting end-to-end qos in multicores through system-wide resource management," in Proc. of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems. ACM, 2011.
[4]
D. B. Bartolini et al., "Towards a performance-as-a-service cloud," in Proc. of the 4th annual Symposium on Cloud Computing. ACM, 2013.
[5]
H. Hoffmann et al., "Application heartbeats: a generic interface for specifying program performance and goals in autonomous computing environments," in Proceedings of the 7th international conference on Autonomic computing. ACM, 2010.
[6]
G. Durelli, "Source code." [Online]. Available: https://bitbucket.org/durellinux/libthreadscale-code
[7]
R. Nathuji et al., "Q-clouds: managing performance interference effects for qos-aware clouds," in Proceedings of the 5th European conference on Computer systems. ACM, 2010.
[8]
D. B. Bartolini et al., "The autonomic operating system research project: achievements and future directions," in Proceedings of the 50th Annual Design Automation Conference. ACM, 2013.
[9]
F. Sironi et al., "Metronome: operating system level performance management via self-adaptive computing," in Design Automation Conference (DAC), 2012 49th. IEEE, 2012.
[10]
F. X. Lin et al., "K2: a mobile operating system for heterogeneous coherence domains," in Proc. of the 19th int. conf. on Architectural support for programming languages and operating systems. ACM, 2014.
[11]
H. Hoffmann and M. Maggio, "Pcp: A generalized approach to optimizing performance under power constraints through resource management," in 11th Int. Conf. on Autonomic Computing, 2014.
[12]
H. Hoffmann, "Seec: A general and extensible framework for self-aware computing, âĂİ massachusetts institute of technology," Tech. Rep, Tech. Rep., 2011.
[13]
J. R. Wernsing and G. Stitt, "Elastic computing: a framework for transparent, portable, and adaptive multi-core heterogeneous computing," in ACM SIGPLAN Notices, vol. 45. ACM, 2010.
[14]
D. B. Bartolini et al., "Automated fine-grained cpu provisioning for virtual machines," ACM Trans. on Architecture and Code Optimization, vol. 11, 2014.
[15]
A. Sharifi et al., "Courteous cache sharing: Being nice to others in capacity management," in Design Automation Conf. (DAC), 2012 49th. IEEE, 2012.

Cited By

View all
  • (2019)Transparent Acceleration for Heterogeneous Platforms With Compilation to OpenCLACM Transactions on Architecture and Code Optimization10.1145/331942316:2(1-26)Online publication date: 18-Apr-2019

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGBED Review
ACM SIGBED Review  Volume 13, Issue 1
Special Issue on the 5th Embedded Operating Systems Workshop (EWiLi 2015)
January 2016
58 pages
EISSN:1551-3688
DOI:10.1145/2907972
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 March 2016
Published in SIGBED Volume 13, Issue 1

Check for updates

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 21 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2019)Transparent Acceleration for Heterogeneous Platforms With Compilation to OpenCLACM Transactions on Architecture and Code Optimization10.1145/331942316:2(1-26)Online publication date: 18-Apr-2019

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media