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Published in:
2021 | OriginalPaper | Chapter
The Dataflow Runtime Environment of DFC
Authors : Jing Zhang, Jinrong Li, Zheng Du, Jiwu Shu, Qiuming Luo
Published in: Parallel and Distributed Computing, Applications and Technologies
Publisher: Springer International Publishing
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Abstract
In this paper, we introduce the DFC dataflow language and its runtime environment. DFC runtime library is in charge of constructing the DAG of the dataflow graph, firing the DFC tasks and the synchronizations between the tasks of successive passes. Basing on an elaborately implemented thread pool and queued Active Data, DFC runtime shows an ideal performance comparing with DSPatch. The experiment of a simple dataflow graph shows that DFC has better performance for the cases that the parallelism beneath the core number, while DSPatch shows a better scalability for the cases of the parallelism exceed the core number. As DFC is still a prototype language, it lacks the ability to construct the DAG dynamically, which leads to low efficiency when coding for a well-structured dataflow graph.