Identifying strategies and architectures (network and I/O) for improving commication on large-scale supercomputers, focusing on climate science and artificial intelligence workloads.
Kronos: enabling long timescale parallel discrete event simulations (PDES) via multi-resolution methods. Surrogate models are coupled with high-fidelity PDES models of supercomputing architectures to accelerate large-scale simulations.
This project seeks to enable the ongoing MPI-related research and development work at Argonne, with the overall goal of enabling MPICH and its derivatives to run effectively at exascale.
The CEED co-design center is a focused team effort to develop the next-generation discretization software and algorithms that will enable a wide range of finite element applications to run efficiently on future hardware.
