Our great sponsors
-
soleil-x
Soleil-X is a turbulence/particle/radiation solver written in the Regent language for execution with the Legion runtime.
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
-
HTR-solver
Hypersonic Task-based Research (HTR) solver for the Navier-Stokes equations at hypersonic Mach numbers including finite-rate chemistry for dissociating air and multicomponent transport.
-
-
Cool! I wondered how production code would look like, then I found this: https://github.com/stanfordhpccenter/soleil-x/blob/master/sr..., and was thoroughly impressed.
I wonder if it would be possible to easily set it up on our university's HPC cluster (which is not a supercomputer, but still has SLURM and everything there).
I should also note that there is Pygion if you want to use Python. Not a lot of great reference material right now, but there's the paper:
https://legion.stanford.edu/pdfs/pygion2019.pdf
And code samples:
https://github.com/StanfordLegion/legion/tree/stable/binding...
Roughly, the sets of computational problems that people used (use?) MPI for. Things like numerical solvers for sparse matrices that are so big that you need to split them across your entire cluster. These still require a lot of node-to-node communication, and on top of it, the pattern is dependent on each problem (so easy solutions like map-reduce are effectively out). See eg https://www.open-mpi.org/, and https://courses.csail.mit.edu/18.337/2005/book/Lecture_08-Do... for the prototypical use case.
We actively develop this code on DOE supercomputers if you are looking for a newer implementation: https://github.com/stanfordhpccenter/HTR-solver. Feel free to ask me any questions
