mpi4py

问题 How can I modify the following code (adapted from http://materials.jeremybejarano.com/MPIwithPython/pointToPoint.html) so that every comm.Send instance is received by root = 0 and the output printed. At the moment, only the first send command is received. #passRandomDraw.py import numpy from mpi4py import MPI from mpi4py.MPI import ANY_SOURCE import numpy as np comm = MPI.COMM_WORLD rank = comm.Get_rank() if rank == 0: randNum = numpy.zeros(1) print "Process before receiving random numbers"

来源： https://stackoverflow.com/questions/46856327/debugging-parallel-python-programs-mpi4py

问题 I haven't worked with distributed computing before, but I'm trying to integrate mpi4py into a program in order to parallelize a for loop on a compute cluster. This is a pseudocode of what I want to do: for file in directory: Initialize a class Run class methods Conglomerate results I've looked all over stack overflow and I can't find any solution to this. Is there any way to do this simply with mpi4py, or is there another tool that can do it with easy installation and setup? 回答1: In order to

问题 The MPI standard, 3.0, says about mpi_scatterv: The specification of counts, types, and displacements should not cause any location on the root to be read more than once." However, my testing of mpi4py in python with the code below does not indicate that there is a problem with reading data from root more than once: import numpy as np from sharethewealth import sharethewealth comm = MPI.COMM_WORLD nprocs = comm.Get_size() rank = comm.Get_rank() counts = [16, 17, 16, 16, 16, 16, 15] displs =

问题 I have tried installing mpi4py with: env MPICC=path/to/openmpi/bin/mpicc conda install -c anaconda mpi4py But I get this message: The following NEW packages will be INSTALLED: mpi anaconda/linux-64::mpi-1.0-mpich mpi4py anaconda/linux-64::mpi4py-3.0.3-py37h028fd6f_0 mpich anaconda/linux-64::mpich-3.3.2-hc856adb_0 Which seems to show that "MPICC=path/to/openmpi/bin/mpicc" was ignored. Indeed, after installing mpi4py with mpich, and trying to run the following simple code with mpirun -n 2

问题 I am very frustrated after a whole week of trying everything imaginable and unimaginable, it seems that their SDK ( https://www.microsoft.com/en-us/download/details.aspx?id=57467 ) is missing something: C:\Anaconda3\PCbuild\amd64 /LIBPATH:build\temp.win-amd64-3.7 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\LIB\amd64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763 .0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\um\x64" "

问题 I am learning MPI in python by myself. I just started from the basic documentation of MPI4py . I started with this code: from mpi4py import MPI comm = MPI.COMM_WORLD rank = comm.Get_rank() if rank == 0: data = {'a': 7, 'b': 3.14} comm.send(data, dest=1, tag=11) elif rank == 1: data = comm.recv(source=0, tag=11) When I ran this program, I got following error: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "MPI/Comm.pyx", line 1175, in mpi4py.MPI.Comm.send (src

问题 i've recently encountered a problem trying to share large data among several processors using the command 'send' from the mpi4py-library. Even a 1000x3 numpy float array is too large to be sent. Any ideas how to overcome this problem? thx in advance. 回答1: I've found a simple solution. Divide data into small enough chunks... 回答2: I encountered this same problem with Isend (not with Send ). It appears that the problem was due to the sending process terminating before the receiver had received

问题 I installed anaconda on 32 bit windows system. Then installed the mpi4py package with conda install. conda search mpi4py Fetching package metadata ....... mpi4py 2.0.0 py27_0 defaults * 2.0.0 py27_msmpi_0 mpi4py 2.0.0 py34_0 defaults 2.0.0 py35_0 defaults The * should mean it is installed, right? So in the anaconda terminal prompt, I can run python and do import mpi4py with no errors. However, from mpi4py import MPI Traceback (most recent call last): File "<stdin>", line 1, in <module>

问题 I have a problem with running a python Hello World mpi4py code on a virtual machine. The hello.py code is: #!/usr/bin/python #hello.py from mpi4py import MPI comm = MPI.COMM_WORLD size = comm.Get_size() rank = comm.Get_rank() print "hello world from process ", rank,"of", size I've tried to run it using mpiexec and mpirun, but it is not running well. The output: $ mpirun -c 4 python hello.py hello world from process 0 of 1 hello world from process 0 of 1 hello world from process 0 of 1 hello