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Low communication overhead dynamic mapping of multiple HEVC video stream decoding on NoCs
| Content Provider | ACM Digital Library |
|---|---|
| Author | Mendis, Hashan Roshantha Indrusiak, Leandro Soares |
| Abstract | The High Efficiency Video Coding (HEVC) standard offers several parallelisation tools such as wave-front parallel processing (WPP) and Tiles (independent frame regions) to better manage the computationally expensive workloads on modern multicore/many-core platforms. However, poor allocation of tile-level HEVC decoding tasks to processing elements may result in increased latency and energy consumption due to data-communication overhead between dependent tiles. In this work, we discuss the difficulties in decoding multiple HEVC bitstreams with highly varying resolutions and data-dependency characteristics as seen in HEVC coded video streams with random-access, adaptive group of pictures (GoP) structures. Secondly, in order to address the above challenges, we introduce a runtime tile allocation scheme that help to reduce the energy usage during HEVC decoding. Evaluations against a bin-packing algorithm, show that the proposed workload mapping technique is able to maintain reasonably acceptable latency results, whilst reducing communication overhead (8-10%) and increasing the mean processor idle periods (~30%) to support dynamic power management. |
| Starting Page | 19 |
| Ending Page | 24 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450340526 |
| DOI | 10.1145/2872421.2872422 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-01-18 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Noc Dynamic task mapping Hevc Low-communication |
| Content Type | Text |
| Resource Type | Article |
