资源列表
matrixMul
- GPU CUDA的经典算法，基于shared memory进行矩阵的相乘运算-GPU CUDA classical algorithm, based on shared memory for matrix multiplication by
quicksort
- 快排的并行实现，使用openMP,程序自动生成随机数，分别使用单线程和多线程排序，并比较最后的结果-quick sort based on openMP
F95_OpenMP
- Fortran Openmp 并行计算教程，实现过程介绍详细-FORTRAN OPENMP PARALELL PROGRAMMING
matrixMul
- Nvidia GPU实现的矩阵相乘的并行算法程序，对学习CUDA技术的初学者有很强的借鉴作用-Nvidia GPU implementation of parallel matrix multiplication algorithm program for beginners to learn CUDA technology, have a strong reference
parallel_mpi_source
- 并行算法实践－mpi源程序，陈国良版，含全部源程序-parallel alogithm
H.264CUDA
- 使用CUDA进行H264编码的经典文章：H.264 ME implementation on CUDA，值得推荐学习。-H264 encoded using CUDA for classic article: H.264 ME implementation on CUDA, worth recommending to learn.
rank_sort
- 用并行方式计算枚举排序 -Sort by parallel computing using parallel computing enumeration enumeration sort
wucha_c
- 实现误差数据处理，包括系统误差的判别，粗大误差的剔除-To achieve data processing errors, including systematic errors discrimination, excluding gross errors
adder
- 运用VHDL语言实现四位超前进位加法器。-VHDL language using the four CLA.
knappara
- 本程序实现0-1背包问题的遗传算法的并行计算，mpi+c语言-This procedure achieved 0-1 knapsack problem genetic algorithm parallel computing, mpi+ c language
nbody
- N-Body 利用cuda的模拟 Fast N-Body Simulation with CUDA-Fast N-Body Simulation with CUDA