资源列表
[GPU-CUDA--C-Programming]
- GPU CUDA C并行编程是计算机实现并行高速计算的强大方式，本资料将引领你进入这个神奇的世界-GPU CUDA C parallel programming is a powerful way to achieve parallel high-speed computer, this information will lead you into the magic of the world
cuda-by-example-sample
- 英文版的CUDA编程入门学习资料，CUDA入门必备~-The English version of the CUDA programming entry-learning materials, beginners must ~
CUDA
- 简单介绍了一下基于GPU CUDA并行加速-Based on a brief introduction about GPU CUDA parallel acceleration
splash2benchmark
- Stanford Parallel Applications for Shared Memory
Step-accelerate
- 本代码是步长加速发的代码，用于显示步长算法的步骤和步长迭代的点的图形化显示。-This is for Step-Accelerate
Histogram-and-Local-Histogram-Equalization
- To find Histogram and Local Histogram of the Image
aefu_v1_0.tar
- MIT 的 meep MIT 的 meep MIT 的 meep-meep code form MIT meep code form MITmeep code form MIT
merge
- MPI MERGE. Merge sort to test in mpi parallel programming.
FFT
- GPU 实现FFT，包括读取txt文件至内存中实现，实现结果后，将结果以txt文件的格式保存。-After the GPU to realize FFT, including memory read txt file to achieve, achieve results, the results will be saved in txt file format.
SPHPPPP
- Smoothed particles dynamics-Smoothed particles dynamics source code C++
Colfax-HOW-Day-01
- 介绍了英特尔至强处理器和英特尔Xeon Phi协处理器和讨论它们的功能和目的。我们也开始介绍便携式的，面向未来的并行编程和讨论在英特尔MIC架构的高性能的先决条件：线程的并行性，矢量化和优化的内存访问模式。本课程将介绍本地的规划模型英特尔Xeon Phi协处理器，允许重用代码的应用程序设计为通用的CPU。会议的实践部分演示了如何在Linux操作系统（OS）在主机上运行的操作系统间的协处理器，以及如何使用英特尔的编译器上运行的处理器的本地应用程序。-Intel Architecture In
Colfax-HOW-Day-02
- we focus on the usage of the Intel Xeon Phi platform as a coprocessor in the offload programming model. We talk about the explicit offload model based on compiler pragmas, explaining how to offload functions, local scalars and arrays of known size, a