Runtime Performance and Power Optimization of Parallel Disparity Estimation on Many-Core Platforms

Abstract

This article investigates the use of many-core systems to execute the disparity estimation algorithm, used in stereo vision applications, as these systems can provide flexibility between performance scaling and power consumption. We present a learning-based runtime management approach that achieves a required performance threshold while minimizing power… (More)
DOI: 10.1145/3133560

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