Microarchitectural analysis of a GPU implementation of the Most Apparent Distortion image quality assessment algorithm
In this paper, we analyze a massively parallel GPU implementation of the most apparent distortion (MAD) full-reference image QA algorithm with optimizations guided by a microarchitectural analysis. A shared memory based implementation of the local statistics computation has yielded 25% speedup over its original implementation. We describe the optimizations that produce the best results. We also justify our optimization recommendations with descriptions of the microarchitectural underpinnings. Although our study focuses on a single algorithm, the image-processing primitives used in this algorithm are fundamentally similar to those used in most modern QA algorithms.
Document Type: Research Article
Publication date: 2017-01-29
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