Programming graphics processing units in the RVC-CAL dataflow language

J. Boutellier; T. Nyländen

doi:10.1109/SiPS.2015.7344994

Programming graphics processing units in the RVC-CAL dataflow language

J. Boutellier
, T. Nyländen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

12 Citations (Scopus)

Abstract

The interest towards programming of streaming applications using dataflow models of computation has been increasing steadily in the recent years. Among the numerous dataflow formalisms, the ISO-standardized RVC-CAL dataflow language has offered a solid basis for programming tool development and research. To this date RVC-CAL programming tools have enabled transforming dataflow programs into concurrent executables for multicore processors, as well as for generating synthesizable hardware descriptions. In this paper it is shown how the RVC-CAL dataflow language can be used for programming graphics processing units (GPUs) with high efficiency. Considering the processing architectures of recent mobile and desktop computing devices, this advance is of high importance, as most consumer devices contain a graphics processing unit nowadays. To evaluate the proposed solution, the paper presents a video processing application case study. At best, the solution is shown to provide a speedup of 42× over single-threaded CPU execution.

Original language	English
Title of host publication	Electronic Proceedings of the 2015 IEEE International Workshop on Signal Processing Systems, SiPS 2015
Publisher	IEEE
Volume	2015-December
ISBN (Electronic)	9781467396042
DOIs	https://doi.org/10.1109/SiPS.2015.7344994
Publication status	Published - 2 Dec 2015
Publication type	A4 Article in conference proceedings
Event	IEEE International Workshop on Signal Processing Systems, SiPS 2015 - Hangzhou, China Duration: 14 Oct 2015 → 16 Oct 2015

Conference

Conference	IEEE International Workshop on Signal Processing Systems, SiPS 2015
Country/Territory	China
City	Hangzhou
Period	14/10/15 → 16/10/15

Keywords

Dataflow computing
design automation
parallel processing

ASJC Scopus subject areas

Electrical and Electronic Engineering
Signal Processing
Applied Mathematics
Hardware and Architecture

Access to Document

10.1109/SiPS.2015.7344994

Cite this

@inproceedings{e517fabf47e94ee5a6e0949f97ef62eb,

title = "Programming graphics processing units in the RVC-CAL dataflow language",

abstract = "The interest towards programming of streaming applications using dataflow models of computation has been increasing steadily in the recent years. Among the numerous dataflow formalisms, the ISO-standardized RVC-CAL dataflow language has offered a solid basis for programming tool development and research. To this date RVC-CAL programming tools have enabled transforming dataflow programs into concurrent executables for multicore processors, as well as for generating synthesizable hardware descriptions. In this paper it is shown how the RVC-CAL dataflow language can be used for programming graphics processing units (GPUs) with high efficiency. Considering the processing architectures of recent mobile and desktop computing devices, this advance is of high importance, as most consumer devices contain a graphics processing unit nowadays. To evaluate the proposed solution, the paper presents a video processing application case study. At best, the solution is shown to provide a speedup of 42× over single-threaded CPU execution.",

keywords = "Dataflow computing, design automation, parallel processing",

author = "J. Boutellier and T. Nyl{\"a}nden",

year = "2015",

month = dec,

day = "2",

doi = "10.1109/SiPS.2015.7344994",

language = "English",

volume = "2015-December",

booktitle = "Electronic Proceedings of the 2015 IEEE International Workshop on Signal Processing Systems, SiPS 2015",

publisher = "IEEE",

address = "United States",

note = "IEEE International Workshop on Signal Processing Systems, SiPS 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

}

Boutellier, J & Nyländen, T 2015, Programming graphics processing units in the RVC-CAL dataflow language. in Electronic Proceedings of the 2015 IEEE International Workshop on Signal Processing Systems, SiPS 2015. vol. 2015-December, 7344994, IEEE, IEEE International Workshop on Signal Processing Systems, SiPS 2015, Hangzhou, China, 14/10/15. https://doi.org/10.1109/SiPS.2015.7344994

TY - GEN

T1 - Programming graphics processing units in the RVC-CAL dataflow language

AU - Boutellier, J.

AU - Nyländen, T.

PY - 2015/12/2

Y1 - 2015/12/2

N2 - The interest towards programming of streaming applications using dataflow models of computation has been increasing steadily in the recent years. Among the numerous dataflow formalisms, the ISO-standardized RVC-CAL dataflow language has offered a solid basis for programming tool development and research. To this date RVC-CAL programming tools have enabled transforming dataflow programs into concurrent executables for multicore processors, as well as for generating synthesizable hardware descriptions. In this paper it is shown how the RVC-CAL dataflow language can be used for programming graphics processing units (GPUs) with high efficiency. Considering the processing architectures of recent mobile and desktop computing devices, this advance is of high importance, as most consumer devices contain a graphics processing unit nowadays. To evaluate the proposed solution, the paper presents a video processing application case study. At best, the solution is shown to provide a speedup of 42× over single-threaded CPU execution.

AB - The interest towards programming of streaming applications using dataflow models of computation has been increasing steadily in the recent years. Among the numerous dataflow formalisms, the ISO-standardized RVC-CAL dataflow language has offered a solid basis for programming tool development and research. To this date RVC-CAL programming tools have enabled transforming dataflow programs into concurrent executables for multicore processors, as well as for generating synthesizable hardware descriptions. In this paper it is shown how the RVC-CAL dataflow language can be used for programming graphics processing units (GPUs) with high efficiency. Considering the processing architectures of recent mobile and desktop computing devices, this advance is of high importance, as most consumer devices contain a graphics processing unit nowadays. To evaluate the proposed solution, the paper presents a video processing application case study. At best, the solution is shown to provide a speedup of 42× over single-threaded CPU execution.

KW - Dataflow computing

KW - design automation

KW - parallel processing

UR - https://www.scopus.com/pages/publications/84958191208

U2 - 10.1109/SiPS.2015.7344994

DO - 10.1109/SiPS.2015.7344994

M3 - Conference contribution

AN - SCOPUS:84958191208

VL - 2015-December

BT - Electronic Proceedings of the 2015 IEEE International Workshop on Signal Processing Systems, SiPS 2015

PB - IEEE

T2 - IEEE International Workshop on Signal Processing Systems, SiPS 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

Programming graphics processing units in the RVC-CAL dataflow language

Abstract

Conference

Keywords

ASJC Scopus subject areas

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