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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
2D 3D Image Segmentation
- Fast continuous max-flow algorithm to 2D/3D image segmentation developed in matlab, C and GPU
fftGPU
- A very fast FFT for Matlab with GPU
ProjectGPU_Matlab
- GPU Code in Matlab-GPU Code in Matlab
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
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
pct-demo
- gpu tutorial pct demo tor matlab use and for matlab optimization tool for research student of the state of israel the best in the world
eigenvaluefield33
- Calculate the eigenvalues of many 3x3 real symmetric matrices.-Calculate the eigenvalues of many 3x3 real symmetric matrices. Computation is non-iterative, based on fully vectorized matlab matrix operations, and GPU computation is supported. It is fa
jacket_matlab
- 在matlab下编程使用jacket工具包进行GPU加速图像平滑算法，对900×900的图像平滑可达8倍多的加速比。需要jacket工具包及cuda toolkit。-In matlab programming toolkit used jacket GPU-accelerated image smoothing algorithm, the 900,900 image smooth acceleration up to 8 times more than that. Need jacket t
use-matlab-for-GPU
- matlab结合GPU的资料，初学者可以看看，很不错的解释,适合参考-matlab GPU combined data, beginners can see, very good explanation for the reference
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
DLTcode
- Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or
wmicGetHardwareInfos
- 用WMIC在WINDOWS上得到计算机硬件信息-Descr iption wmicGetHardwareInfos queries informations about the computer hardware (OS, CPU, GPU, RAM, Disk) It displays results in the command window or in a text file. wmicGetHardwareInfos requires wmicGet (submission#4
SAXS-polymer
- GPU并行计算与MATLAB相结合能大大缩短计算时间，提高运算效率-GPU parallel computing and MATLAB can greatly reduce the computation time and improve the operation efficiency.
Modified-lbest-PSO-on-GPU
- 这个是基于环形拓扑结构的约束微粒群算法，对原来的算法做了改进，只用到了一个邻居节点，效果与基本的微粒群算法大致相当。但是在对多模函数的计算上，优于基本的微粒群算法。这个算法的运行平台是GPUmat,需要的运行环境有：Matlab, GPU, GPUmat, Visual Studio.-This the modified particle swarm optimization algorithm that based on ring toplopy with constrain conditio
ELM-MATLAB-GPU
- 极限学习机代码（GPU版本），使用MATLAB自带的GPU工具箱-Extreme Learning Machine code (GPU version), the use of MATLAB s own GPU toolbox
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.)
MatlabCuda
- 自己写的GPU并行程序和MATLAB 平台混合调用，适合初学者学习MATLAB 和GPU的并行编程(Write their own GPU parallel program and MATLAB platform mixed call, suitable for beginners to learn MATLAB and GPU parallel programming)
ftdtq
- fdtdq.m 球面坐标系的fdtd实现程序 fdtdgpu.m 使用gpu并行的fdtd实现程序(The FDTD realization program of fdtdq.m spherical coordinate system Fdtdgpu.m uses a GPU Parallel FDTD implementation program)
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.)