mpi

Fortran mpi runtime error

由 孤街醉人 提交于 2020-01-04 06:01:09
问题 I am trying to understand parallel data writing from Fortran code with MPI. I came across a simple program from here. I compiled and run the program with MPI compiler and getting the following error: sathish@HP-EliteBook:~/Desktop$ mpif90 test.F90 -o test sathish@HP-EliteBook:~/Desktop$ mpirun -np 4 test ------------------------------------------------------- Primary job terminated normally, but 1 process returned a non-zero exit code.. Per user-direction, the job has been aborted. ----------

Fortran mpi runtime error

由 岁酱吖の 提交于 2020-01-04 06:01:04
问题 I am trying to understand parallel data writing from Fortran code with MPI. I came across a simple program from here. I compiled and run the program with MPI compiler and getting the following error: sathish@HP-EliteBook:~/Desktop$ mpif90 test.F90 -o test sathish@HP-EliteBook:~/Desktop$ mpirun -np 4 test ------------------------------------------------------- Primary job terminated normally, but 1 process returned a non-zero exit code.. Per user-direction, the job has been aborted. ----------

浅说CPU并行计算与GPU并行计算

由 China☆狼群 提交于 2020-01-04 05:05:44
最近在学一门课，叫做“C++与并行计算”。要用到多CPU（进程）并行的原理，实现语言是C++的MPI接口。联想到上学期用到CUDA C/C++来做并行计算，就对这两门语言做一个总结，分享下自己关于并行计算的认识。 1 并行计算的基本原理 并行计算一般有两个维度，一个是指令（Instruction）或程序（Program），另一个是数据（Data）。这样，就可以归纳出各种并行模式（S代表Single，M代表Multiple）。 除了SISD，其他几个都算是并行计算方法。这里重点介绍下SPMD。 SPMD是最简单的一种并行计算模式。SP意味着程序员只需写一份代码，MD意味着这些代码对不同的数据应该分别处理。而并行，则要求数据处理的过程要同时进行。通俗的讲，就是一份代码被复制了多份，然后每份代码单独跑一份数据，从而实现并行。这就引出了一个问题：数据是如何存储的？ 1.1 数据的存储 数据的存储可以分为两大类：分布式存储和共享内存。 分布式存储意味着不同的进程/指令处理不同的数据，大家互相不干扰。基于多CPU的MPI并行计算接口用的就是这种思想。 共享内存则要求不同的进程/指令可以同时修改同一块数据。这样，进程之间的通信将变得简单。缺点是容易造成数据读写冲突而需要谨慎对待。基于GPU的CUDA C/C++并行计算就用到了这种方法。 2 MPI：多CPU并行计算

并行计算之基础概念

由 纵然是瞬间 提交于 2020-01-04 05:04:34
　　并行计算（Parallel Computing）是指同时使用多种计算资源解决计算问题的过程，是提高计算机系统计算速度和处理能力的一种有效手段。它的基本思想是用多个处理器来协同求解同一问题，即将被求解的问题分解成若干个部分，各部分均由一个独立的处理机来并行计算。并行计算系统既可以是专门设计的、含有多个处理器的超级计算机，也可以是以某种方式互连的若干台的独立计算机构成的集群。通过并行计算集群完成数据的处理，再将处理的结果返回给用户。　　 　　并行计算或称平行计算是相对于串行计算来说的。所谓并行计算可分为时间上的并行和空间上的并行。 时间上的并行就是指流水线技术，而空间上的并行则是指用多个处理器并发的执行计算。 　　并行计算科学中主要研究的是空间上的并行问题。从程序和算法设计人员的角度来看，并行计算又可分为数据并行和任务并行。空间上的并行导致了两类并行机的产生，按照Flynn的说法分为： 单指令流多数据流（SIMD） 和 多指令流多数据流（MIMD） 。我们常用的串行机也叫做单指令流单数据流（SISD）。 　　MIMD类的机器又可分为以下常见的五类：并行向量处理机（PVP）、对称多处理机（SMP）、大规模并行处理机（MPP）、工作站机群（COW）、分布式共享存储处理机（DSM）。 　　目前常见的并行编程技术包括：MPI、OPENMP、OPENCL、OPENGL、CUDA

Boost.MPI: What's received isn't what was sent!

由 二次信任 提交于 2020-01-04 02:44:48
问题 I am relatively new to using Boost MPI. I have got the libraries installed, the code compiles, but I am getting a very odd error - some integer data received by the slave nodes is not what was sent by the master. What is going on? I am using boost version 1.42.0, compiling the code using mpic++ (which wraps g++ on one cluster and icpc on the other). A reduced example follows, including the output. Code: #include <iostream> #include <boost/mpi.hpp> using namespace std; namespace mpi = boost:

Detecting not using MPI when running with mpirun/mpiexec

由 百般思念 提交于 2020-01-03 16:47:11
问题 I am writing a program (in C++11) that can optionally be run in parallel using MPI. The project uses CMake for its configuration, and CMake automatically disables MPI if it cannot be found and displays a warning message about it. However, I am worrying about a perfectly plausible use case whereby a user configures and compiles the program on an HPC cluster, forgets to load the MPI module, and does not notice the warning. That same user might then try to run the program, notice that mpirun is

Netbeans MPI c++ how to start?

由 心不动则不痛 提交于 2020-01-03 15:21:13
问题 Hello everyone I just staring developing c++ under netbeans/ubuntu(x64) and now I am staring with MPI. How can I compile, test,run mpi applications under. Thanks a lot. 回答1: Till now, I've found only this IDE for MPI on Linux: Geany (a tutorial is here.) But I keep searching... If anyone find better IDE, please share under this question... 回答2: There is an Eclipse plug-in for parallel programming, including MPI: http://www.eclipse.org/ptp/ 回答3: To build, change the C++ compiler in NetBeans's

MPI Derived Type send

由 亡梦爱人 提交于 2020-01-03 03:14:05
问题 I try to send a derived type to processors. The type contains object from other derived type. I started the example from Examples: Struct Derived Data Type. I add my code. The code is little long but it basically same for two types. I have Part object that has also a Particle object and i want to send Part . The result that i have is after the code. #include "mpi.h" #include <stdio.h> #define NELEM 25 main(int argc, char *argv[]) { int numtasks, rank, source=0, dest, tag=1, i; typedef struct

run Rmpi on cluster, specify library path

由 ⅰ亾dé卋堺 提交于 2020-01-03 02:49:13
问题 I'm trying to run an analysis in parallel on our computing cluster. Unfortunately I've had to set up Rmpi myself and may not have done so properly. Because I had to install all necessary packages into my home folder, I always have to call .libPaths('/home/myfolder/Rlib'); before I can load packages. However, it appears that doMPI attempts to load itself, before I can set the library path. .libPaths('/home/myfolder/Rlib'); cat("Step 1") library(doMPI) cl <- startMPIcluster() registerDoMPI(cl)

MPI - Asynchronous Broadcast/Gather

由 青春壹個敷衍的年華 提交于 2020-01-02 04:20:07
问题 I have a project which requires 'n' number of processes to work until the problem is solved. Each slave process executes the same code. When a certain condition arises, the process needs to notify all of the other processes in a non-blocking way. The other processes also need to receive this message in a non-blocking way. Is there a way to do with without threading a separate loop? 回答1: It's been a while since I've used MPI. But the I functions are non-blocking. Maybe something like this: int
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