Processing of multimedia data using the P2G framework

Authors:
Paul B. Beskow;Håkon K. Stensland;Håvard Espeland;Espen A. Kristiansen;Preben N. Olsen;Ståle Kristoffersen;Carsten Griwodz;Pål Halvorsen
Affiliations:
Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway;Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway;Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway;Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway;Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway;Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway;Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway;Simula Research Laboratory / Department of Informatics, University of Oslo, Oslo, Norway
Venue:
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Year:
2011

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Abstract

In this demo, we present the P2G framework designed for processing distributed real-time multimedia data. P2G supports arbitrarily complex dependency graphs with cycles, branches and deadlines. P2G is implemented to scale transparently with available resources, i.e., a concept familiar from the cloud computing paradigm. Additionally, P2G supports heterogeneous computing resources, such as x86 and GPU processing cores. We have implemented an interchangeable P2G kernel language which is meant to expose fundamental concepts of the P2G programming model and ease the application development. Here, we demonstrate the P2G execution node using a MJPEG encoder as an example workload when dynamically adding and removing processing cores.