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LilyTask: A Task-Oriented Parallel Computation Model

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Advanced Parallel Processing Technologies (APPT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2834))

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Abstract

While BSP model is a concise parallel computation model, it has some limitations in functionality and performance. To overcome those limitations, we propose a task-oriented parallel computation model, named LilyTask, while remaining the virtue of conciseness. In LilyTask, tasks are taken as scheduling units in parallel computation, which may directly reflect the decomposition process of original problems. Further more, a task in LilyTask is allowed to generate subtasks of various granularities at runtime, which makes LilyTask very suitable for irregular problems. LilyTask model may also be applied to computational Grid to solve coarse-granularity parallel problems and loosely-coupled problems sets.

This paper is funded by Project 69933020 of the National Natural Science Foundation of China.

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Author information

Authors and Affiliations

  1. Computer Networks & Distributed Systems Laboratory, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, P.R. China

    Tao Wang & Xiaoming Li

Authors
  1. Tao Wang
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  2. Xiaoming Li
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Editor information

Editors and Affiliations

  1. PDL, National University of Defense Technology, 410073, Changsha, China

    Xingming Zhou

  2. Department of Network Engineering, School of Computer Science, National University of Defense Technology, 410073, Changsha, China

    Ming Xu

  3. Fraunhofer FIRST, Kekuléstr. 7, D-12489, Berlin, Germany

    Stefan Jähnichen

  4. Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China

    Jiannong Cao

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© 2003 Springer-Verlag Berlin Heidelberg

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Wang, T., Li, X. (2003). LilyTask: A Task-Oriented Parallel Computation Model. In: Zhou, X., Xu, M., Jähnichen, S., Cao, J. (eds) Advanced Parallel Processing Technologies. APPT 2003. Lecture Notes in Computer Science, vol 2834. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39425-9_19

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  • DOI: https://doi.org/10.1007/978-3-540-39425-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20054-3

  • Online ISBN: 978-3-540-39425-9

  • eBook Packages: Springer Book Archive

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