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2D CUDA-based bilinear interpolation
- This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset. To compile and run this software, one needs the NVIDIA CUDA Toolkit (http://www.nvidia.com/object/cuda_get.html) and, of course, an NVIDIA graphics card of reasonably moder
pso
- cuda加速粒子群算法的代码，非常不错哦-particle swarm algorithm to accelerate the cuda code
NVIDIACUDA
- 说明了matlab与cuda之间的关系，对于有一定基础的matlab编程人员来说，是一个可以借鉴的书-Matlab and cuda illustrates the relationship between the basis for some of the matlab programmers is a reference book
matlab+and+cuda
- Matlab and CUDA program manual.
cuSVMVCcode
- 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc
dalleyCudaPedDet
- This bundle provides the source code for the INRIA Object Detection and Localization Toolkit, with various optimizations including a CUDA port that allows most of the processing to be offloaded to a CUDA-capable NVidia graphics card for substantial s
cuda_histogram
- 在matlab中可以调用的程序，用c语言编写，cuda求直方图-used in caculating histogram of color images ,
hpec07_cuda_final
- pdf file see Accelerating MATLAB with CUDA The MATLAB scr ipts solve the Euler equation in vorticitystream function using a pseudo-spectral method
MATLAB-CUDA
- The latest generation of high-end video cards off er considerable computing power using their 100–200 on-card processors, 0.3–1.0+ GB of RAM, and fast inter-processor communications. One promising application of this Graphics Processing Un
ParzerCuda
- Parzer Window on CUDA for Matlab
SOMbach
- Self organizing maps for Matlab CUDA
cuda_matlab
- 使用matlab调用cuda程序文件，从而产生高效的加速效果。-connect matlab with CUDA
Tutorials___How_To_s_With_CUDA__Matlab____Visual_
- CUDA tutorial for matlab
Gaussian-blur-with-CUDA-5
- cuda5 and matlab code for Gaussian filtering and parallel image processing code, we hope to help
MATLAB-CUDA
- MATLAB平台下的CUDA加速库。运用该库可避免在MEX函数中来回拷贝GPU数据，提高MATLAB运行速率。附件给出一个简单的矩阵乘法的示例程序，该程序在GTX TITAN下运行效率比intel i7 3930k提高了10倍。-CUDA MATLAB platform acceleration libraries. Avoid the use of the library can be copied back and forth GPU MEX function data, improve M
CorrectionImage
- 这是在Matlab软件平台下的 GPU程序，进行图像放大的并行运算，使用CUDA来编写程序。(This is in the Matlab software platform under the GPU program, image amplification parallel operation, using CUDA to write programs.)
faster_rcnn-master
- faster_rcnn的matlab试验资料，包括编译好的包，CUDA7.5，matlab2016a，VS2013(this is a good learning resource for object detection using deep learning. we use faster_rcnn algorithm and matlab coder cuda version is 7.5 VS version is 12.0 matlab version is 2016a)
Non Local Means with Cuda
- 使用cuda对快匹配算法进行并行化处理，提高了运算速度(The fast matching algorithm is parallelized with CUDA, and the speed of operation is improved.)
GAze
- It is cuda cluster pkgs
marchingCubes
- 1.在MATLAB中直接实现Marching Cubes; 2.使用了向量化和预分配的概念在MATLAB中优化; 3.用c-mex函数和GPU实现.(1. Marching Cubes is realized directly in MATLAB; 2., the concepts of VQ and pre allocation are optimized in MATLAB. 3. is implemented with c-MEX function and GPU.)