New multilevel parallelism management for multimedia processors

Xavier Verians; Jean-Didier Legat; Benoit M. M. Macq; Jean-Jacques Quisquater

doi:10.1117/12.334769

21 December 1998 New multilevel parallelism management for multimedia processors

Xavier Verians, Jean-Didier Legat, Benoit M. M. Macq, Jean-Jacques Quisquater

Proceedings Volume 3655, Media Processors 1999; (1998) https://doi.org/10.1117/12.334769
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

This paper presents a new parallelism manager for multimedia multiprocessors. An analysis of recent multimedia applications shows that the available parallelism moves from the data-level to the control-level. New architectures are required to be able to extract this kind of dynamic parallelism. Our proposed parallelism management describes the parallelism with a topological description of the task dependence graph. It allows to represent various and complex parallelism patterns. This parallelism description is separated from the program code to allow the task manager to decode it in parallel with the task execution. The task manager is based on a queue bank that stores the task graph. Control commands are inserted in the task dependence graph to allow a dynamic modification of this graph, depending on the processed data. Simulations on classical multiprocessing benchmarks show that in case of simple parallelism, we have similar performances than classical systems. However, the performances on complex applications are improved up to 12%. Multimedia applications have also bee simulated. The results show that our task manager can efficiently handle complex dynamic parallelism structures.

Citation Download Citation

Xavier Verians, Jean-Didier Legat, Benoit M. M. Macq, and Jean-Jacques Quisquater "New multilevel parallelism management for multimedia processors", Proc. SPIE 3655, Media Processors 1999, (21 December 1998); https://doi.org/10.1117/12.334769

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KEYWORDS

Multimedia

Plutonium

Image processing

Data processing

Head

Stereolithography

Image segmentation

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