HPDDM
A high-performance unified C++ framework implementing domain decomposition methods for solving large-scale elliptic PDEs on parallel computers.
What is HPDDM?
HPDDM is a high-performance unified framework for domain decomposition methods (DDM), providing efficient implementations of advanced preconditioners and Krylov subspace solvers for large-scale scientific computing. It solves challenging elliptic partial differential equations (PDEs) like diffusion, elasticity, and Helmholtz problems on parallel architectures, offering scalability and robustness where traditional methods may struggle.
Computational scientists, researchers, and engineers working on large-scale numerical simulations of PDEs, particularly those needing scalable, parallel solvers for elliptic problems in fields like computational fluid dynamics, structural mechanics, and wave propagation.
Developers choose HPDDM for its rigorous implementation of state-of-the-art domain decomposition methods, seamless integration with popular scientific computing libraries like PETSc and FreeFEM, and proven efficiency in solving heterogeneous and difficult elliptic problems at scale.
Overview
A framework for high-performance domain decomposition methods.
Use Cases
Best For
- Solving large-scale elliptic PDEs like diffusion or elasticity problems on supercomputers
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