کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6872884 | 1440625 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Harris corner detection on a NUMA manycore
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Corner detection is a key kernel for many image processing procedures including pattern recognition and motion detection. The latter, for instance, mainly relies on the corner points for which spatial analyses are performed, typically on (probably live) videos or temporal flows of images. Thus, highly efficient corner detection is essential to meet the real-time requirement of associated applications. In this paper, we consider the corner detection algorithm proposed by Harris, whose the main work-flow is a composition of basic operators represented by their approximations using 3Â ÃÂ 3 matrices. The corresponding data access patterns follow a stencil model, which is known to require careful memory organization and management. Cache misses and other additional hindering factors with NUMA architectures need to be skillfully addressed in order to reach an efficient scalable implementation. In addition, with an increasingly wide vector registers, an efficient SIMD version should be designed and explicitly implemented. In this paper, we study a direct and explicit implementation of common and novel optimization strategies, and provide a NUMA-aware parallelization. Experimental results on a dual-socket INTEL Broadwell-E/EP show a noticeably good scalability performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 88, November 2018, Pages 442-452
Journal: Future Generation Computer Systems - Volume 88, November 2018, Pages 442-452
نویسندگان
Olfa Haggui, Claude Tadonki, Lionel Lacassagne, Fatma Sayadi, Bouraoui Ouni,