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SIFT openCL feature extraction

Application backgroundThe exact definition of features is often determined by the type of problem or application. Feature is the "interesting" part of a digital image, which is the starting point of many computer image analysis algorithms. Therefore, the success of an algorithm is often determined b...

CUDA on GPU kMeans

Application backgroundCUDA on the kMeans to achieve GPU, a cluster analysis.We often come into contact with the clustering analysis. It is a common practice to extract N features, and then put them together to form a N vector, so that a mapping from the original data set to a N dimensional vector sp...

CUDA on GPU N-Body

Application backgroundImplement N-BODY algorithm on GPU. The N-Body simulation problem covers many areas of natural science, from the viewpoint of the universe to the macroscopic fluid dynamics, until the microscopic molecular dynamics. For example through the research around the Galactic dark matte...

Programming the GPU using CUDA platform to multiply matrices

This procedure for simple CUDA programming, both programs is to multiply matrices. Which is the difference between Matrix1 and Matrix2 Matrix2 uses shared memory. Each program using serial and parallel two ways to multiply, eventually will result in parallel and serial computation results, verify th...

TSP problem based on genetic algorithm

A TSP source list with detailed notes, using genetic algorithms, is capable of side-by-side , Assumes that you have a traveling businessman to visit n cities, he must choose to walk the path, path restrictions can only be visited once in each city, and finally to return to your original departure...

Convert color images to grayscale images in the OpenMP+Cuda accelerated video, extraction of video image edge

Objective: to speed up video converting color images to grayscale images, extraction of edges in video images. Development environment: Windows 8.1 x64 OS   vs2012 cuda5.5  opencv2.4.8 hardware:NVIDIA  GeForce GT 740M, 4G RAM, Intel (r) Core (TM) i5-4200MCPU @2.50GHz need to conf...

JAVA multi-threaded parallel computing algorithm for sorting binary insertion

Application backgroundParallel computing is a new technology, but the code for parallel computing is not particularly popular. This article is about the parallel binary insertion sort computing applications, hope to help you learn.Key TechnologyParallel computing, multi thread, binary insertion sort...

MFC调用CUDA

如何在MFC中调用CUDA 环境:     Windows Vista SP1 Microsoft Visual Studio 2005 CUDA 2.0 步骤: 1.       创建一个对话框的MFC程序 选择“基于对话框”...

Fluid Simulation for Video Games, part 6

Differential Velocity Solvers This article, the sixth in a series, describes a radically different technique for computing velocity from vorticity, one of the cornerstones of the fluid simulation presented in these articles. The first article summarized fluid dynamics; the second surveyed flui...

HADOOP3 development tutorial

Hadoop is the Apache open source project, the main objective of development is to build reliable, scalable scalable, distributed system, Hadoop is the sum of a series of subprojects that contain. 1. the Hadoop common: for other projects to provide the infrastructure 2. the HDFS: a distri...


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