Welcome to charm4py Discussions! #185
matthiasdiener
started this conversation in
General
Replies: 1 comment 1 reply
-
I'm in the physics department at UMass, Amherst, and I have a compute-intensive code to simulate flowing granular media (a bit like LAMMPS). I have succeeded in parallelizing the code using charm4py getting speedups on multi-core desktop PCs and on single nodes at our HPC center, although the latter do not scale very well with the number of cores. From the docs it seems I should be using MPI rather than the default TCP and that I will need that to move to a multi-node scaling. But so far I can't figure out how - the docs say do |
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
👋 Welcome!
We’re using Discussions as a place to connect with other members of our community. We hope that you:
build together 💪.
To get started, comment below with an introduction of yourself and tell us about what you do with this community.
Beta Was this translation helpful? Give feedback.
All reactions