This problem may occur if the .so file from homebrew’s formula links against a different python library than the interpreter you are running, see also this thread and this response. If you have no other dependencies then running your program using the python interpreter from homebrew (which should be located in /usr/local/bin/) may solve the … Read more
I am using mpi4py and MPICH (installed with conda) to parallelize the training of a reinforcement learning system across several CPUs ( using an AWS EC2 instance, namely, a c5.x12) with Ubuntu. I have benchmarked the performance and the amount of training per unit of time increases 30% (when 5 processes are used) with respect … Read more
First and foremost, there are ways to debug an MPI application, which should really be your top priority. A general approach for multi-process applications is to pause at the beginning of your application e.g. with a getchar() then attach to each process with a debugger as described here: compile, link and start running your MPI … Read more
In the context of MPI, application buffer (often called user buffer) is the buffer that holds information to be sent or the place where information is to be received. Applications buffers are what one passes to MPI communication calls, e.g. Once MPI_Send is called, a message is constructed and depending on various criteria is either … Read more