Processing of Multimedia Data Using the P2G Framework

In this paper, the authors present the P2G framework designed for processing distributed real-time multimedia data. P2G sup-ports 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. They have implemented an inter-changeable P2G kernel language which is meant to expose fundamental concepts of the P2G programming model and ease the application development. Here, they demonstrate the P2G execution node using a MJPEG encoder as an example workload when dynamically adding and removing processing cores

Provided by: Association for Computing Machinery Topic: Software Date Added: Dec 2011 Format: PDF

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