Publication

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Apostolos Modas, Junaid Jameel Ahmad
2018
Conference Papers

Résumé

This paper presents shared-variable synchronization approaches for dataflow programming. The mechanisms do not require any substantial model of computation (MoC) modification, and is portable across both for hardware (HW) and software (SW) low-level code synthesis. With the shared-variable formalization, the benefits of the dataflow MoC are maintained, however the space and energy efficiency of an application can be significantly improved. The approach targets Dynamic Process Network (DPN) dataflow applications, thus making them also suitable for less expressive models e. g. synchronous and cyclostatic dataflow that DPN subsumes. The approach is validated through the analysis and optimization of a High-Efficiency Video Coding (HEVC) decoder implemented in the RVC-CAL dataflow language targeting a multi-core platform. Experimental results show how, starting from an initial design that does not use the shared-variable formalism, frames per second throughput performance is increased by a factor of 21.

Source officielle

https://infoscience.epfl.ch/entities/publication/6030565c-eab8-4840-b152-cfd8c13ecdd9

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Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Apostolos Modas, Junaid Jameel Ahmad
2018
Conference Papers

Résumé

Source officielle

https://infoscience.epfl.ch/entities/publication/6030565c-eab8-4840-b152-cfd8c13ecdd9

À propos de ce résultat

Concepts associés (19)

Dataflow programming

In computer programming, dataflow programming is a programming paradigm that models a program as a directed graph of the data flowing between operations, thus implementing dataflow principles and architecture. Dataflow programming languages share some features of functional languages, and were generally developed in order to bring some functional concepts to a language more suitable for numeric processing. Some authors use the term datastream instead of dataflow to avoid confusion with dataflow computing or dataflow architecture, based on an indeterministic machine paradigm.

Dataflow

In computing, dataflow is a broad concept, which has various meanings depending on the application and context. In the context of software architecture, data flow relates to stream processing or reactive programming. Dataflow computing is a software paradigm based on the idea of representing computations as a directed graph, where nodes are computations and data flow along the edges. Dataflow can also be called stream processing or reactive programming. There have been multiple data-flow/stream processing languages of various forms (see Stream processing).

H.265

H.265, ou « MPEG-H HEVC » (High Efficiency Video Coding), est une norme de codage/compression vidéo ISO/CEI 23008-2 et UIT-T H.265, publiée le . Elle est développée conjointement par les groupes Video Coding Experts Group (VCEG) et Moving Picture Experts Group (MPEG) et doit succéder au H.264 (ISO/CEI 14496-10 et UIT-T H.264). Ses applications concernent aussi bien la compression des vidéos en ultra-haute définition que la diminution du débit de transmission sur les réseaux pour les vidéos en définition standard avec des applications pour la vidéo sur mobile et pour l'extension de l'éligibilité aux services audiovisuels (TV, VoD.

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