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Orcc: multimedia development made easy

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Mickael RauletAuthors Info & Claims

MM '13: Proceedings of the 21st ACM international conference on Multimedia

Pages 863 - 866

https://doi.org/10.1145/2502081.2502231

Published: 21 October 2013 Publication History

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Abstract

In this paper, we present Orcc, an open-source development environment that aims at enhancing multimedia development by offering all the advantages of dataflow programming: flexibility, portability and scalability. To do so, Orcc embeds two rich eclipse-based editors that provide an easy writing of dataflow applications, a simulator that allows quick validation of the written code, and a multi-target compiler that is able to translate any dataflow program, written in the RVC-CAL language, into an equivalent description in both hardware and software languages. Orcc has already been used to successfully write tens of multimedia applications, such as a video decoder supporting the new High Efficiency Video Coding standard, that clearly demonstrates the ability of the environment to develop complex applications. Moreover, results show scalable performances on multi-core platforms and achieve real-time decoding frame-rate on HD sequences.

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Cited By

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Callanan GGruian FHong JPark J(2024)Hardware and Software Generation from Large Actor Machines in Streaming ApplicationsProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635930(142-150)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3605098.3635930
Callanan GGruian FZhu Qvon Hanxleden RStephen EBrandt J(2023)Scalable Actor Networks with CALProceedings of the 21st ACM-IEEE International Conference on Formal Methods and Models for System Design10.1145/3610579.3611074(169-179)Online publication date: 21-Sep-2023
https://dl.acm.org/doi/10.1145/3610579.3611074
Fryer JGarcia P(2023)The Good, the Bad and the Ugly: Practices and Perspectives on Hardware Acceleration for Embedded Image ProcessingJournal of Signal Processing Systems10.1007/s11265-023-01885-595:10(1181-1201)Online publication date: 29-Jul-2023
https://doi.org/10.1007/s11265-023-01885-5
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Index Terms

Orcc: multimedia development made easy
1. Software and its engineering

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Information & Contributors

Information

Published In

MM '13: Proceedings of the 21st ACM international conference on Multimedia

October 2013

1166 pages

ISBN:9781450324045

DOI:10.1145/2502081

General Chairs:
Alejandro (Alex) Jaimes
Yahoo!, Spain
,
Nicu Sebe
University of Trento, Italy
,
Nozha Boujemaa
INRIA, France
,
Program Chairs:
Daniel Gatica-Perez
IDIAP & EPFL, Switzerland
,
David A. Shamma
Yahoo!, USA
,
Marcel Worring
University of Amsterdam, The Netherlands
,
Roger Zimmermann
National University of Singapore, Singapore

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2013

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MM '13

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SIGMM

MM '13: ACM Multimedia Conference

October 21 - 25, 2013

Barcelona, Spain

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MM '13 Paper Acceptance Rate 47 of 235 submissions, 20%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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Callanan GGruian FHong JPark J(2024)Hardware and Software Generation from Large Actor Machines in Streaming ApplicationsProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635930(142-150)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3605098.3635930
Callanan GGruian FZhu Qvon Hanxleden RStephen EBrandt J(2023)Scalable Actor Networks with CALProceedings of the 21st ACM-IEEE International Conference on Formal Methods and Models for System Design10.1145/3610579.3611074(169-179)Online publication date: 21-Sep-2023
https://dl.acm.org/doi/10.1145/3610579.3611074
Fryer JGarcia P(2023)The Good, the Bad and the Ugly: Practices and Perspectives on Hardware Acceleration for Embedded Image ProcessingJournal of Signal Processing Systems10.1007/s11265-023-01885-595:10(1181-1201)Online publication date: 29-Jul-2023
https://doi.org/10.1007/s11265-023-01885-5
Bloch ACasale-Brunet SMattavelli M(2023)Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous SystemJournal of Signal Processing Systems10.1007/s11265-023-01884-695:10(1219-1229)Online publication date: 31-Jul-2023
https://doi.org/10.1007/s11265-023-01884-6
Castrillon JDesnos KGoens AMenard C(2023)Dataflow Models of Computation for Programming Heterogeneous MulticoresHandbook of Computer Architecture10.1007/978-981-15-6401-7_45-2(1-40)Online publication date: 28-Sep-2023
https://doi.org/10.1007/978-981-15-6401-7_45-2
Bloch ACasale-Brunet SMattavelli M(2022)Dynamic SIMD Parallel Execution on GPU from High-Level Dataflow SynthesisJournal of Low Power Electronics and Applications10.3390/jlpea1203004012:3(40)Online publication date: 17-Jul-2022
https://doi.org/10.3390/jlpea12030040
Bloch ACasale-Brunet SMattavelli M(2022)Performance Estimation of High-Level Dataflow Program on Heterogeneous Platforms by Dynamic Network ExecutionJournal of Low Power Electronics and Applications10.3390/jlpea1203003612:3(36)Online publication date: 23-Jun-2022
https://doi.org/10.3390/jlpea12030036
Emami MBezati EJanneck JLarus JKloeckner AMoreira J(2022)Auto-Partitioning Heterogeneous Task-Parallel Programs with StreamBlocksProceedings of the International Conference on Parallel Architectures and Compilation Techniques10.1145/3559009.3569659(398-411)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3559009.3569659
Boutellier JMa YWu JKhan MBhattacharyya S(2022)VR-PRUNE: Decidable Variable-Rate Dataflow for Signal Processing SystemsIEEE Transactions on Signal Processing10.1109/TSP.2022.316238870(1819-1833)Online publication date: 2022
https://doi.org/10.1109/TSP.2022.3162388
Rizk MMartin KDiguet J(2022)Run-Time Remapping Algorithm of Dataflow Actors on NoC-Based Heterogeneous MPSoCsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2022.317795733:12(3959-3976)Online publication date: 1-Dec-2022
https://doi.org/10.1109/TPDS.2022.3177957
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