搜索资源列表
cannonMPI
- 并行计算中的cannon算法描述,采用C & openMPI库来执行算法,在矩阵大小100内效果显著-Cannon in the parallel computing algorithm descr iption, the use of C & openMPI library to perform algorithm, matrix size 100 results are obvious within
HelloCPPAMP
- C++AMP的程序,需要安装VS2012,供并行计算初学者学习,内有文档-a program of C++AMP,which is for parallel learners and need to install VS2012. There is a document in it
Keygen
- mathematica 9的破解文件,windows & Mac OS,仅对英文版有效-mathematica 9 crack file, windows & Mac OS, only the English version is valid
CPPAMP-manu
- C++AMP 手册,简单扼要的介绍了array_view,index 等对象,充分利用 GPU 计算资源,使你的程序计算速度提高百倍。-C++AMP manual, brief descr iption of the array_view, index and other objects, make full use of GPU computing resources to make your program to calculate the speed of a hundred times.
ArrayBandwidth
- C++AMP 中矩阵边界的演示,附有详细的官方文档说明PDF文件;演示了单核模型和线性模型。-C++AMP Matrix border demonstration accompanied by a detailed descr iption of the official documentation PDF files
ArrayVsArrayView
- C++AMP的演示例程,主要显示 array 对象与 arrayview 对象的区别,有官方说明文档-C++AMP demo routines, the main display object array object arrayview distinction, there is official documentation
SimpleMultiGPU
- 多GPU核协作运算,使用CPU作为host端,协同多GPU进程运算,并将计算结果返回CPU;有 C++AMP的官方文档-Multi-GPU collaborative computing core, using the CPU as host side, the process of multi-GPU collaborative computing, and the result is returned CPU has C++AMP official documents
Sort
- 使用内存共享模型,将主机端数据,分散到各GPU进行排序,然后将各并行结果返回,统一处理。附有C++AMP官方说明模型文档。-Using shared memory model, the host-side data, distributed to each GPU to sort, and then returns the results of the parallel, unified handling. With C++AMP official descr iption model docu
ImageGrayAMP
- AMP图像灰度,需要一块dx11的显卡,如果没有,速度慢。-Amp ImageGray
CUDA book(2018)
- CUDA GPU 并发编程开发 Tolga Soyata 的书((Chapman & Hall_CRC Computational Science) Tolga Soyata-GPU Parallel Program Development Using CUDA-Chapman and Hall_CRC (2018))