Efficient Dynamic Multiple GPGPU Layer for OpenCV

Efficient Dynamic Multiple GPGPU Layer for OpenCV

General purpose graphic processing unit (GPGPU) provides high performance resource for computing. CUDA (Compute Unified Device Architecture) and OpenCL (Open Computing Language) permit writing of parallel computing programs that utilize multiple central processing units (CPU) and GPGPUs. The image processing library, OpenCV (Open Source Computer Vision library), may benefit greatly from paralle...

Learning OpenCV

diagnostic and developmental potentials of dynamic assessment for writing skill

این پایان نامه بدنبال بررسی کاربرد ارزیابی مستمر در یک محیط یادگیری زبان دوم از طریق طرح چهار سوال تحقیق زیر بود: (1) درک توانایی های فراگیران زمانیکه که از طریق برآورد عملکرد مستقل آنها امکان پذیر نباشد اما در طول جلسات ارزیابی مستمر مشخص شوند; (2) امکان تقویت توانایی های فراگیران از طریق ارزیابی مستمر; (3) سودمندی ارزیابی مستمر در هدایت آموزش فردی به سمتی که به منطقه ی تقریبی رشد افراد حساس ا...

Dynamic Detection of Uniform and Affine Vectors in GPGPU Computations

We present a hardware mechanism which dynamically detects uniform and affine vectors used in Graphics Processing Units, to minimize pressure on the register file and reduce power consumption with minimal architectural modifications. A preliminary experimental analysis conducted with a simulator shows that this optimization can benefit up to 34 % of register file reads and 22 % of the computatio...

IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine

BACKGROUND AND OBJECTIVE The effective processing of biomedical images usually requires the interoperability of diverse software tools that have different aims but are complementary. The goal of this work is to develop a bridge to connect two of those tools: ImageJ, a program for image analysis in life sciences, and OpenCV, a computer vision and machine learning library. METHODS Based on a th...