Article

Efficient Compile-Time Task scheduling for Heterogeneous Distributed Computing Systems

Authors:

Mohammad I. Daoud,

Nawwaf KharmaAuthors Info & Claims

ICPADS '06: Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1

Pages 11 - 22

https://doi.org/10.1109/ICPADS.2006.40

Published: 12 July 2006 Publication History

Publisher Site

Abstract

Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed computing systems (or HeDCSs). Because of its key importance, several scheduling algorithms have been proposed in the literature, which are mainly for homogeneous processors. Few scheduling algorithms are developed for HeDCSs. In this paper, we present a novel task scheduling algorithm, called the Longest Dynamic Critical Path (LDCP) Algorithm, for HeDCSs. The LDCP algorithm is a list-based scheduling algorithm that uses a new attribute to effectively compute the priorities of tasks in HeDCSs. At each scheduling step, the LDCP algorithm selects the task with the highest priority and assigns the selected task to the processor that minimizes its finish execution time using an insertion-based scheduling policy. The LDCP algorithm successfully generates task schedules that outperform, to the best of our knowledge, two of the best scheduling algorithms for HeDCSs.

References

[1]

H. Topcuoglu, S. Hariri, and M.Y. Wu, "Performance-Effective and Low- Complexity Task Scheduling for Heterogeneous Computing", IEEE Trans. Parallel and Distributed Systems, Vol. 13, No. 3, pp. 260-274, March 2002.

Digital Library

Google Scholar

[2]

A. Zomaya, C. Ward, and B. Macey, "Genetic Scheduling for Parallel Processor Systems: Comparative Studies and Performance Issues", IEEE Trans. Parallel and Distributed Systems, Vol. 10, No. 8, pp. 795-812, August 1999.

Digital Library

Google Scholar

[3]

S. Bansal, P. Kumar, and K. Singh, "An Improved Duplication Strategy for Scheduling Precedence Constrained Graphs in Multiprocessor systems", IEEE Trans. Parallel and Distributed Systems, Vol. 14, No. 6, pp. 533-544, June 2003.

Digital Library

Google Scholar

[4]

Y.K. Kwok and I. Ahmad, "Static Scheduling Algorithms for Allocating Directed Task Graphs to Multiprocessors", ACM Computing Surveys, Vol. 31, No. 4, pp. 406-471, December 1999.

Digital Library

Google Scholar

[5]

Y.K. Kwok and I. Ahmad, "Dynamic Critical-Path Scheduling: An Effective Technique for Allocating Task Graphs to Multiprocessors", IEEE Trans. Parallel and Distributed Systems, Vol. 7, No. 5, pp. 506-521, May 1996.

Digital Library

Google Scholar

[6]

A.Y. Zomaya and Y.H. Teh, "Observations on Using Genetic Algorithms for Dynamic Load Balancing", IEEE Trans. Parallel and Distributed Systems, Vol. 12, No. 9, pp. 899-911, September 2001.

Digital Library

Google Scholar

[7]

G.C. Sih, and E.A. Lee, "A Compile-Time Scheduling Heuristic for Interconnection-Constrained Heterogeneous Processor Architectures", IEEE Trans. Parallel and Distributed Systems, Vol. 4, No. 2, pp. 175-187, February 1993.

Digital Library

Google Scholar

[8]

I. Ahmad and Y.K. Kwok, "On Exploiting Task Duplication in Parallel Program Scheduling", IEEE Trans. Parallel and Distributed Systems, Vol. 9, No. 9, pp. 872- 892, September 1998.

Digital Library

Google Scholar

[9]

M. Wu and D. Dajski, "Hypertool: A Programming Aid for Message Passing Systems", IEEE Trans. Parallel and Distributed Systems, Vol. 1, pp. 330-343, July 1990.

Digital Library

Google Scholar

Cited By

View all

del Rio Astorga DDolz MSánchez LFernández JGarcía J(2018)An adaptive offline implementation selector for heterogeneous parallel platformsInternational Journal of High Performance Computing Applications10.1177/109434201769874632:6(854-863)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1177/1094342017698746
Puthoor STang XGross JBeckmann BKaeli DCavazos J(2018)Oversubscribed Command Queues in GPUsProceedings of the 11th Workshop on General Purpose GPUs10.1145/3180270.3180271(50-60)Online publication date: 24-Feb-2018
https://dl.acm.org/doi/10.1145/3180270.3180271
Chronaki KMoretó MCasas MRico ABadia RAyguadé ELabarta JValero MZaks AMendelson BRauchwerger LHwu W(2016)POSTERProceedings of the 2016 International Conference on Parallel Architectures and Compilation10.1145/2967938.2976038(415-417)Online publication date: 11-Sep-2016
https://dl.acm.org/doi/10.1145/2967938.2976038
Show More Cited By

Index Terms

Efficient Compile-Time Task scheduling for Heterogeneous Distributed Computing Systems
1. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        Process management
        Scheduling
    2. Software system structures
      1. Distributed systems organizing principles
2. Theory of computation
  1. Design and analysis of algorithms
    1. Approximation algorithms analysis
      1. Scheduling algorithms
    2. Online algorithms
      1. Online learning algorithms
        Scheduling algorithms
  2. Theory and algorithms for application domains
    1. Machine learning theory
      1. Reinforcement learning
        Sequential decision making

Recommendations

Algorithms for task scheduling in heterogeneous computing environments
Reliable Task Scheduling for Heterogeneous Distributed Computing Environment
ACT '09: Proceedings of the 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies

Competent scheduling is vital in exploiting the available computing resources. Scheduling dependant tasks is a well-studied problem and a number of approaches have been proposed. The problem of scheduling has been shown to be NP-complete. The existing ...
Workflow simulation and multi-threading aware task scheduling for heterogeneous computing
Abstract
Efficient application scheduling is critical for achieving high performance in heterogeneous computing systems. This problem has proved to be NP-complete even for the homogeneous case, heading research efforts in obtaining low ...
Highlights
- A new task scheduling method (TSRS) reducing the scheduling time of HEFT popular algorithm, when the computation costs are unknown.

Comments

Information & Contributors

Information

Published In

ICPADS '06: Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1

July 2006

640 pages

ISBN:0769526128

Publisher

IEEE Computer Society

United States

Publication History

Published: 12 July 2006

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

del Rio Astorga DDolz MSánchez LFernández JGarcía J(2018)An adaptive offline implementation selector for heterogeneous parallel platformsInternational Journal of High Performance Computing Applications10.1177/109434201769874632:6(854-863)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1177/1094342017698746
Puthoor STang XGross JBeckmann BKaeli DCavazos J(2018)Oversubscribed Command Queues in GPUsProceedings of the 11th Workshop on General Purpose GPUs10.1145/3180270.3180271(50-60)Online publication date: 24-Feb-2018
https://dl.acm.org/doi/10.1145/3180270.3180271
Chronaki KMoretó MCasas MRico ABadia RAyguadé ELabarta JValero MZaks AMendelson BRauchwerger LHwu W(2016)POSTERProceedings of the 2016 International Conference on Parallel Architectures and Compilation10.1145/2967938.2976038(415-417)Online publication date: 11-Sep-2016
https://dl.acm.org/doi/10.1145/2967938.2976038
Chronaki KRico ABadia RAyguadé ELabarta JValero MBhuyan LChong FSarkar V(2015)Criticality-Aware Dynamic Task Scheduling for Heterogeneous ArchitecturesProceedings of the 29th ACM on International Conference on Supercomputing10.1145/2751205.2751235(329-338)Online publication date: 8-Jun-2015
https://dl.acm.org/doi/10.1145/2751205.2751235

Abstract

References

Cited By

Index Terms

Recommendations

Algorithms for task scheduling in heterogeneous computing environments

Reliable Task Scheduling for Heterogeneous Distributed Computing Environment

Workflow simulation and multi-threading aware task scheduling for heterogeneous computing

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations