Skip to Main content Skip to Navigation
Conference papers

SIMD-based Exact Parallel Fuzzy Dilation Operator for Fast Computing of Fuzzy Spatial Relations

Abstract : For decades, fuzzy spatial relations have demonstrated their utility and effectiveness for visual reasoning, including semantic annotation and object recognition. However, a major issue is that they often involve fuzzy morphological operators that are compute-intensive leading to long latency in the relation evaluation. As a result, approximate methods have been proposed to compute some relations in an acceptable time, but they are not as generic as the fuzzy dilation or do not make the most of modern computing architectures. In this paper, we introduce the Reverse and the Parallel Reverse (PR) algorithms. Reverse is an exact and efficient algorithm for the fuzzy dilation operator and PR combines the Reverse algorithm exactness with efficient usage of modern-processor multiple cores using OpenMP. Using SIMD extensions to enhance Parallel Reverse, PR 128 (AVX), PR 256 (AVX2), and PR 512 (AVX512) are faster than the state-of-the-art approximate methods while remaining generic and exact. To demonstrate the performance of PR and highlight the contribution of the SIMD instructions, an extensive benchmark was carried out on two datasets of natural and artificial images.
Complete list of metadata

Cited literature [24 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02517053
Contributor : Régis Pierrard Connect in order to contact the contributor
Submitted on : Tuesday, March 24, 2020 - 11:51:48 AM
Last modification on : Monday, April 4, 2022 - 12:13:05 PM

File

PPOPP2020__HAL_.pdf
Files produced by the author(s)

Identifiers

Citation

Régis Pierrard, Laurent Cabaret, Jean-Philippe Poli, Céline Hudelot. SIMD-based Exact Parallel Fuzzy Dilation Operator for Fast Computing of Fuzzy Spatial Relations. WPMVP 2020 Workshop on Programming Models for SIMD/Vector Processing, Feb 2020, San Diego, United States. ⟨10.1145/3380479.3380482⟩. ⟨hal-02517053⟩

Share

Metrics

Record views

76

Files downloads

88