LilyTask: A task-oriented parallel computation model

3Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

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. © Springer-Verlag Berlin Heidelberg 2003.

Cite

CITATION STYLE

APA

Wang, T., & Li, X. (2003). LilyTask: A task-oriented parallel computation model. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2834, 157–161. https://doi.org/10.1007/978-3-540-39425-9_19

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free