O'Reilly logo

Python Parallel Programming Cookbook by Giancarlo Zaccone

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Avoiding deadlock problems

A common problem we face is that of the deadlock. This is a situation where two (or more) processes block each other and wait for the other to perform a certain action that serves to another, and vice versa. The mpi4py module doesn't provide any specific functionality to resolve this but only some measures, which the developer must follow to avoid problems of deadlock.

How to do it…

Let's first analyze the following Python code, which will introduce a typical deadlock problem; we have two processes, rank equal to one and rank equal to five, that communicate which each other and both have the data sender and data receiver functionality:

from mpi4py import MPI comm=MPI.COMM_WORLD rank = comm.rank print("my rank is : " , rank) ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required