Welcome to the InfoSci Platform
Reference Hub3
Mixed Parallel Programming Models Using Parallel Tasks

Mixed Parallel Programming Models Using Parallel Tasks

Joerg Duemmler, Thomas Rauber, Gudula Ruenger
Copyright: © 2010 |Pages: 30
ISBN13: 9781605666617|ISBN10: 1605666610|EISBN13: 9781605666624
DOI: 10.4018/978-1-60566-661-7.ch011
Cite Chapter Cite Chapter

MLA

Duemmler, Joerg, et al. "Mixed Parallel Programming Models Using Parallel Tasks." Handbook of Research on Scalable Computing Technologies, edited by Kuan-Ching Li, et al., IGI Global, 2010, pp. 246-275. https://doi.org/10.4018/978-1-60566-661-7.ch011

APA

Duemmler, J., Rauber, T., & Ruenger, G. (2010). Mixed Parallel Programming Models Using Parallel Tasks. In K. Li, C. Hsu, L. Yang, J. Dongarra, & H. Zima (Eds.), Handbook of Research on Scalable Computing Technologies (pp. 246-275). IGI Global. https://doi.org/10.4018/978-1-60566-661-7.ch011

Chicago

Duemmler, Joerg, Thomas Rauber, and Gudula Ruenger. "Mixed Parallel Programming Models Using Parallel Tasks." In Handbook of Research on Scalable Computing Technologies, edited by Kuan-Ching Li, et al., 246-275. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-661-7.ch011

Export Reference

Mendeley
Favorite

Abstract

Parallel programming models using parallel tasks have shown to be successful for increasing scalability on medium-size homogeneous parallel systems. Several investigations have shown that these programming models can be extended to hierarchical and heterogeneous systems which will dominate in the future. In this chapter, the authors discuss parallel programming models with parallel tasks and describe these programming models in the context of other approaches for mixed task and data parallelism. They discuss compiler-based as well as library-based approaches for task programming and present extensions to the model which allow a flexible combination of parallel tasks and an optimization of the resulting communication structure.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.