Improved vectorization of OpenCV algorithms for RISC-V CPUs

التفاصيل البيبلوغرافية
العنوان: Improved vectorization of OpenCV algorithms for RISC-V CPUs
المؤلفون: Volokitin, V. D., Vasiliev, E. P., Kozinov, E. A., Kustikova, V. D., Liniov, A. V., Rodimkov, Y. A., Sysoyev, A. V., Meyerov, I. B.
المصدر: Lobachevskii J Math 45, 130-142 (2024)
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Performance
الوصف: The development of an open and free RISC-V architecture is of great interest for a wide range of areas, including high-performance computing and numerical simulation in mathematics, physics, chemistry and other problem domains. In this paper, we discuss the possibilities of accelerating computations on available RISC-V processors by improving the vectorization of several computer vision and machine learning algorithms in the widely used OpenCV library. It is shown that improved vectorization speeds up computations on existing prototypes of RISC-V devices by tens of percent.
نوع الوثيقة: Working Paper
DOI: 10.1134/S1995080224010530
URL الوصول: http://arxiv.org/abs/2311.12808
رقم الانضمام: edsarx.2311.12808
قاعدة البيانات: arXiv
الوصف
DOI:10.1134/S1995080224010530