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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...
In order to address the throughput constraints of the system at minimal power consumption, the workload of computing nodes should be balanced. This requires accounting for the underlying hardware characteristics and throughput sustainable by these nodes. This work provides a workload distribution and balancing methodology of a divisible load under a throughput constraint, on heterogeneous nodes. The...
This paper presents a cross-layer approach for analyzing and designing energy-efficient advanced multimedia systems with next-generation High-Efficiency Video Coding (HEVC) standard. Our approach leverages both algorithmic and architectural layers of system design abstractions in order to achieve a high power/energy efficiency. We present an analysis and design of an HEVC-based multimedia system while...
This paper provides a comprehensive analysis of the computational complexity, power consumption, temperature, and memory access behavior for the next-generation High Efficiency Video Coding (HEVC) standard. We highlight the associated design challenges and present several low-power algorithmic and architectural techniques for developing power-efficient HEVC-based multimedia system. We explore the...
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