资源列表
MPI
- MPI时间函数的测试,通过并行计算得到简单的时间函数运算-MPI time function test, obtained by parallel computing a simple function of time operator
20-22-cuda-ryu
- 是用CUDA的并行计算的材料。 有很多高级的概念。-The data of CUDA. There are many high level methods.
guess
- 猜數字 cout< "猜數字\n"<<"規則:1.輸入0~9的正整數\n"<<" 2.數字不能正整數\n" <<" 3.輸入四個數字(不能重複)\n" <<" 4.A=位子且數字對\n"<<" 5.B=數字對但位子不對\n"<<"PS.輸入:0 0 0 0換題\n"<<" 輸入:3 1 6 6離開猜數字\n" <<" 輸入9 9 5 8求救\n"<<" 每個數字請用空格分
chapter06
- 《GPU高性能编程CUDA实战》书中第6章源代码-Chapter 6 source code of the GPU high-performance programming CUDA real " book
chapter04
- 《GPU高性能编程CUDA实战》书中第4章源代码-Chapter 4, the source code of the GPU high-performance programming CUDA real " book
chapter03
- GPU高性能编程CUDA实战第3章 书中源代码代码-GPU high-performance programming CUDA actual Chapter 3 of the book source code code
chapter05
- 《GPU高性能编程CUDA实战》书中第5章源代码-Chapter 5 source code of the GPU high-performance programming CUDA real " book
a
- OpenMP简单的应用 输入计算线程数 重复循环执行一定数量的代码 记录起始时间和结束时间 时间相减求出代码执行时间-A simple OpenMP applications enter the calculation of the number of threads that repeat loop executes a certain amount of code to record the start time and end time subtraction to find the co
CorosyncPPacemaker-build-HA-cluster
- 使用Corosync和Pacemaker构建高可用性的双机热备Linux集群-Using Corosync and Pacemaker build high-availability hot standby Linux cluster
laplace
- 并行程序设计。laplace的并行实现.laplace是一个非常非常重要的算法，并行程序可以有效提升算法的执行效率。-Parallel programming. The laplace parallel implementation to the laplace is a very, very important algorithms, parallel programs can effectively improve the efficiency of the implementation o
exp2_4_7
- 使用迭代公式计算某正整数的平方根-Using iterative formula one number square root
chapter08
- 《GPU高性能编程CUDA实战》书中第8章源代码-GPU high-performance programming CUDA real " book, Chapter 8 source code