University of Oulu

Boutellier, J. & Nyländen, T. J Sign Process Syst (2017) 89: 469.

Design flow for GPU and multicore execution of dynamic dataflow programs

Saved in:
Author: Boutellier, Jani1,2; Nylanden, Teemu1
Organizations: 1Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland
2Present address: Laboratory of Pervasive Computing, Tampere University of Technology, Tampere, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link:
Language: English
Published: Springer Nature, 2017
Publish Date: 2018-06-24


Dataflow programming has received increasing attention in the age of multicore and heterogeneous computing. Modular and concurrent dataflow program descriptions enable highly automated approaches for design space exploration, optimization and deployment of applications. A great advance in dataflow programming has been the recent introduction of the RVC-CAL language. Having been standardized by the ISO, the RVC-CAL dataflow language provides a solid basis for the development of tools, design methodologies and design flows. This paper proposes a novel design flow for mapping RVC-CAL dataflow programs to parallel and heterogeneous execution platforms. Through the proposed design flow the programmer can describe an application in the RVC-CAL language and map it to multi- and many-core platforms, as well as GPUs, for efficient execution. The functionality and efficiency of the proposed approach is demonstrated by a parallel implementation of a video processing application and a run-time reconfigurable filter for telecommunications. Experiments are performed on GPU and multicore platforms with up to 16 cores, and the results show that for high-performance applications the proposed design flow provides up to 4 × higher throughput than the state-of-the-art approach in multicore execution of RVC-CAL programs.

see all

Series: Journal of signal processing systems for signal image and video technology
ISSN: 1939-8018
ISSN-E: 1939-8115
ISSN-L: 1939-8018
Volume: 89
Issue: 3
Pages: 469 - 478
DOI: 10.1007/s11265-017-1260-8
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The authors thank anonymous reviewers for their constructive comments. This work was funded by the Academy of Finland project UNICODE.
Academy of Finland Grant Number: 274911
Detailed Information: 274911 (Academy of Finland Funding decision)
Copyright information: © Springer Science+Business Media, LLC 2017. This is a post-peer-review, pre-copyedit version of an article published in Journal of signal processing systems for signal, image, and video technology. The final authenticated version is available online at: