Chrome 调试跨域问题解决方案之插件篇
Chrome 调试跨域问题解决方案之插件篇 参考文章： （1）Chrome 调试跨域问题解决方案之插件篇 （2）https://www.cnblogs.com/hpx2020/p/10973519.html 备忘一下。 来源： oschina 链接： https://my.oschina.net/u/4389078/blog/4938105
hpx
VS2017 创建&安装项目模板
参考链接: https://blog.csdn.net/Misaka2001/article/details/77870879 当你想使用VS做一道OI竞赛题目时，你的步骤是： 新建空项目 | 添加源文件 | 重命名源文件 | 双击打开源文件 写上万年不变的include、main、return 0, 真是如此的繁琐; 且还不方便添加日期时间等信息 现在这些都可以通过自定义项目模板来解决。这里分享最简单的在VS2017中创建并使用自定义模板的过程，以创建一个算法项目模板为例。 环境: WIN10 x64 专业版; VS 2017 企业版 VS2017创建&导出项目模板 首先打开VS2017, 按照标准的创建WIN32控制台应用程序的流程,新建一个模板工程, 并添加源文件. 第一步: Ctrl + Shift + N新建项目, 在这里插入图片描述 确定, 下一步, 勾选空项目, 完成. 在这里插入图片描述 第二步: Ctrl + Shift + A, 添加源文件 重命名为main.cpp 在这里插入图片描述 添加完毕之后, 在文件中写上自己常用的信息; 比如 /*** * main.cpp * Created by $username$ on $time$. * ***/ #include<iostream> using namespace std; int main() {
Localities in parallelism
问题 New to parallelism and learning the ropes to HPX with C++. I'm looking at a specific hello-word example that will print hello world on every OS-thread on every locality, some output would look like: hello world from OS-thread 1 on locality 0 hello world from OS-thread 1 on locality 1 hello world from OS-thread 0 on locality 0 hello world from OS-thread 0 on locality 1 My question is, when the program output on locality x , what exactly does locality mean? I understand OS-thread but I'm not
HPX transform_reduce
问题 I've tried to use transform_reduce from hpx as given in the Answer https://stackoverflow.com/a/54481320/11008404 but I can't compile it. My code so far: #include <hpx/hpx_main.hpp> #include <hpx/hpx.hpp> #include <hpx/include/parallel_transform_reduce.hpp> #include <hpx/include/iostreams.hpp> #include <vector> class A { public: double residual() { // Calculate actual local residual double i = 1.0; return i; } }; int main() { std::vector<A> vec(300); double res = hpx::parallel::transform
Parallel reduce (e.g. sum) a vector of hpx::futures<double>
问题 We are currently trying to implement a red-black Gauss-Seidel solver for a numerical simulation. For that we divided our simulation area into equal sized subgrids. We are able to asynchronously perform the red-black cycles for the pressure equation on each subgrid with the correct dependencies and a hpx::dataflow object. But now we have the following problem: after every n-th cycle we have to perform a residual calculation to determine if we are converged already. So the optimal solution
Localities in parallelism
New to parallelism and learning the ropes to HPX with C++. I'm looking at a specific hello-word example that will print hello world on every OS-thread on every locality, some output would look like: hello world from OS-thread 1 on locality 0 hello world from OS-thread 1 on locality 1 hello world from OS-thread 0 on locality 0 hello world from OS-thread 0 on locality 1 My question is, when the program output on locality x , what exactly does locality mean? I understand OS-thread but I'm not quite sure what the program means by which locality. Example of some code inside HPX main this isn't
HPX minimal two node example set-up?
问题 The HPX getting started tutorial assumes you are using PBS or slurm. These may be quite common in the HPC community but as a developer I'm more used to the scenario of here are a couple of machines you can install stuff on. It's not immediately obvious whether a scheduler like slurm is required to leverage multiple physical machines or just convenient for managing a cluster. I know you can simulate multiple localities using the -l flag when you run an HPX application (see for example this
HPX minimal two node example set-up?
The HPX getting started tutorial assumes you are using PBS or slurm. These may be quite common in the HPC community but as a developer I'm more used to the scenario of here are a couple of machines you can install stuff on. It's not immediately obvious whether a scheduler like slurm is required to leverage multiple physical machines or just convenient for managing a cluster. I know you can simulate multiple localities using the -l flag when you run an HPX application (see for example this question ) what I want is to run the same application on 2 nodes and have them communicate with each other