搜索资源列表
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
GPU-JP08-1parte
- How to works GPU and how to instal CUDA
GPU-Gems3
- 给出了GPU的最新快照，详细描述了当今最新的GPU的内部架构，以及如何利用GPU的编程技巧。另外额外探讨了如何利用GPU的计算能力完成其他计算任务（CUDA）。-This third volume of the best-selling GPU Gems series provides a snapshot of today s latest Graphics Processing Unit (GPU) programming techniques. The programmability of
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
rbm_binary_binary
- Restricted Boltzmann Machine with binary visible ,hidden units and GPU (CUDA) support.
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.)
GPUBarCode
- 这是在Matlab软件平台下的 GPU程序，用最近邻域双线性插值算法填补图像中缺失区域，是并行运算处理，使用CUDA来编写程序。(This is the GPU program under the Matlab software platform, and the nearest neighborhood bilinear interpolation algorithm to fill the missing areas in the image is parallel processing,
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.)