A Hardware Task Scheduler for Embedded Video Processing

Abstract

Modern embedded Systems-on-a-Chip deploy multiple programmable cores to meet increasing performance requirements of video, graphics, and modem applications. However, software implementations of task scheduling and inter-task synchronization often limit performance improvements of multicores. Remarkably, several demanding video applications (e.g. H.264 video decoding) rely on task dependency graphs that can be constructed from a simple dependency pattern. Based on such a pattern, our novel hardware task scheduler can quickly create, order, synchronize and map tasks to cores. We found that our hardware task scheduler speeds up a Quad HD H.264 video decoding by 1.17 times compared to a chip multi-processor with a state-of-the-art hardware task queues. Moreover, our hardware task scheduler allows decreasing the number of cores needed to meet the real-time performance requirements for the H.264 decoder and, consequently, reduces the silicon area of the multicore by up to 12.5%.

DOI: 10.1007/978-3-540-92990-1_12

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@inproceedings{AlKadi2009AHT, title={A Hardware Task Scheduler for Embedded Video Processing}, author={Ghiath Al-Kadi and Andrei Sergeevich Terechko}, booktitle={HiPEAC}, year={2009} }