For the ExaWind challenge problem, decomposing the linear systems for each overset mesh offers several advantages by (1) allowing the use of rigorously coupled, separate CFD codes wherein optimal solvers can be chosen for their respective domains and (2) speeding up the linear solvers.
The analytical and computational methods developed in this work pave the way for future calculations in more complicated systems involving multiparticle and nuclear systems.
ArborX will speed up exascale applications for computational cosmology, multiphysics data transfer, computational mechanics, wind farm simulations, and other research areas.
The recent proliferation of new hardware technologies has galvanized the high-performance computing (HPC) community and created the ability to deliver the nation’s forthcoming exascale-capable supercomputers and data centers. It has also made LLVM-based compiler technology the default gatekeeper to these new systems.
The Exascale Computing Project (ECP) is working to combine two key technologies, LLVM and continuous integration (CI), to ensure that current and future compilers are stable and performant on high-performance computing (HPC) and exascale computer systems.
Stencils are a fundamental computational pattern in many parallel distributed HPC algorithms, notably grid-based and finite element methods.
