JH
Johann H.
Credit Analyst
Architecture & Planning
Small-Business (50 or fewer emp.)
"Easy to parallelize existing functions and algorithms"
What do you like best about mpi4py?
mpi4py has been of great use when dealing with problems that are computationally intensive in my Python projects. Due to parallel processing, I can reduce the amount of time taken to perform certain demanding simulations and data analysis. Review collected by and hosted on G2.com.
What do you dislike about mpi4py?
One problem with using parallel code is that it can be tricky to spot and solve any problems within the parallel code. Finally, the debugging of data transmission is complex because there are limited tools for pointing out errors between processes. Review collected by and hosted on G2.com.