Scheduling and energy-distortion tradeoffs with operational refinement of image processing

— Ubiquitous image processing tasks (such as transform decompositions, filtering and motion estimation) do not currently provide graceful degradation when their clock-cycles budgets are reduced, e.g. when delay deadlines are imposed in a multi-tasking environment to meet throughput requirements. This is an important obstacle in the quest for full utilization of modern programmable platforms’ capabilities, since: (i) worst-case considerations must be in place for reasonable quality of results; (ii) throughput-distortion tradeoffs are not possible for distortion-tolerant image processing applications without cumbersome (and potentially costly) system customization. In this paper, we extend the functionality of the recently-proposed software framework for operational refinement of image processing (ORIP) and demonstrate its inherent throughputdistortion and energy-distortion scalability. Importantly, our extensions allow for such scalabilities at the software level, without needing ha...

• Type: Conference
• Year: 2010
• Where: DATE
• Authors: Davide Anastasia, Yiannis Andreopoulos
• Keywords: DATE 2010, Graceful Degradation, Hardware, Image Processing, Image Processing Tasks