Skip to Main content Skip to Navigation
Conference papers

Scalable-Grain Pipeline Parallelization Method for Multi-core Systems

Abstract : How to parallelize the great amount of legacy sequential programs is the most difficult challenge faced by multi-core designers. The existing parallelization methods at the compile time due to the obscured data dependences in C are not suitable for exploring the parallelism of streaming applications. In this paper, a software pipeline for multi-layer loop method is proposed for streaming applications to exploit the coarse-grained pipeline parallelism hidden in multi-layer loops. The proposed method consists of three major steps: 1) transform the task dependence graph of a streaming application to resolve intricate dependence, 2) schedule tasks to multiprocessor system-on-chip with the objective of minimizing the maximal execution time of all pipeline stages, and 3) adjust the granularity of pipeline stages to balance the workload among all stages. The efficiency of the method is validated by case studies of typical streaming applications on multi-core embedded system.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-01513778
Contributor : Hal Ifip <>
Submitted on : Tuesday, April 25, 2017 - 2:33:43 PM
Last modification on : Monday, August 12, 2019 - 12:14:01 PM
Long-term archiving on: : Wednesday, July 26, 2017 - 2:14:25 PM

File

978-3-642-40820-5_23_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Peng Liu, Chunming Huang, Jun Guo, Yang Geng, Weidong Wang, et al.. Scalable-Grain Pipeline Parallelization Method for Multi-core Systems. 10th International Conference on Network and Parallel Computing (NPC), Sep 2013, Guiyang, China. pp.269-283, ⟨10.1007/978-3-642-40820-5_23⟩. ⟨hal-01513778⟩

Share

Metrics

Record views

140

Files downloads

361