Lilytask Programming Model and Its Implementations on SMP & Cluster

T. Wang, N. Di, J. Shen, and Y. Tang (PRC)


Task Parallelism, Scheduling, Compiler, Runtime Library


In this paper, we introduce an easy-to-use, platform senseless task parallel programming model called LilyTask, as well as its implementations on SMP and Cluster. LilyTask programming model reflects directly the human thoughts in the parallelism process of a problem. LilyTask supports both data and function parallelisms, as well as dynamic task creation and scheduling. It is very suitable for solving irregular problems. And its performance is satisfying.

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