Abstract
One of the main sources for energy consumption in modern video coding algorithms is caused by reading reference frames from main memory. Once a reference frame block is in the local memory, we need to predict in advance when the same reference frame block would be reread from the main memory. The prediction relies on the calculation of motion vectors according to their absolute addresses. The reduction of the number of read accesses can be attained by calculating which motion vectors point to a part of the reference frame that can be copied to a local memory. This increases data locality, and thus reduces energy consumption. The optimized memory access algorithm was integrated into low power MPEG-4 decoder architecture [1, 2] and modeled using SystemC. A cycle accurate model simulation with optimized algorithm showed an average of 10% increase on runtime performance compared to an unoptimized typical video decoding algorithm.
Original language | Undefined/Unknown |
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Title of host publication | 3rd International Conference on Information and Communication Systems |
Publisher | ACM Press |
Pages | – |
Number of pages | 5 |
ISBN (Print) | 978-1-4503-1327-8 |
DOIs | |
Publication status | Published - 2012 |
MoE publication type | A4 Article in a conference publication |
Event | International Conference on Information and Communication Systems - International Conference on Information and Communication Systems Duration: 3 May 2012 → 5 May 2012 |
Conference
Conference | International Conference on Information and Communication Systems |
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Period | 03/05/12 → 05/05/12 |
Keywords
- Memory access
- fine-grained
- heterogeneous
- low power
- motion vector
- reusable data
- video decoder