Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Approximate Computing is an emerging paradigm for developing highly energy-efficient computing systems. It leverages the inherent resilience of applications to trade output quality with energy efficiency. In this paper, we present a novel approximate architecture for energy-efficient motion estimation (ME) in high efficiency video coding (HEVC). We synthesized our designs for both ASIC and FPGA design flows. ModelSim gate-level simulations are used for functional and timing verification. We comprehensively analyze the impact of heterogeneous approximation modes on the power/energy-quality tradeoffs for various video sequences. To facilitate reproducible results for comparisons and further research and development, the RTL and behavioral models of approximate SAD architectures and constituting approximate modules are made available at https://sourceforge.net/projects/lpaclib/.
Details
Original language | English |
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Title of host publication | Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 |
Place of Publication | Lausanne |
Publisher | IEEE Xplore |
Pages | 1384-1389 |
Number of pages | 6 |
ISBN (electronic) | 978-3-9815370-8-6, 978-3-9815370-9-3 |
ISBN (print) | 978-1-5090-5826-6 |
Publication status | Published - 11 May 2017 |
Peer-reviewed | Yes |
Publication series
Series | Design, Automation and Test in Europe Conference and Exhibition (DATE) |
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ISSN | 1530-1591 |
Conference
Title | 20th Design, Automation and Test in Europe, DATE 2017 |
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Duration | 27 - 31 March 2017 |
City | Swisstech, Lausanne |
Country | Switzerland |
Keywords
Research priority areas of TU Dresden
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Approximate computing, Energy efficiency, Hardware accelerator, HEVC, Motion estimation, Video coding