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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...

Matrix of GPU CUDA SOR

SOR (Successive Over-Relaxation) also known as successive overrelaxation method, is a general algorithm for solving differential equations, mainly used in solving the Laplace equation, bubble shapes and other issues. This procedure using CUDA sor, and contains two methods, one is a single whole matr...

Used in mobile robot path planning Improved Ant Colony Algorithm

Mobile robot path planning based on improved ant colony algorithm to solve the problem of low efficiency robot path selection, the algorithm of the traditional ant colony algorithm is improved, the construction process, including solution, pheromone update process, the basic idea is that the ants in...

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...

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...

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...

CUDA parallel computing

Application backgroundVS_cuda parallel computing two vs based on the realization of the.Cu code to achieve a simple matrix multiplication and inversion....

Parallel distribution matrix multiplication

Application backgroundBased on cluster, the test can be used.The power of parallel distributed solution matrix is realized.Mechanism based on message passing. The master process is responsible for assigning tasks. Complex calculation of each sub process.Through the block, effectively solve the probl...


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