trilinos/Trilinos

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1418 stars · 628 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Trilinos is a collection of C++ libraries and an object-oriented software framework for solving large-scale, complex multi-physics engineering and scientific problems. It provides modular packages covering linear algebra, solvers, preconditioners, discretization, optimization, and performance portability across CPUs and GPUs.

Use cases

• solve large sparse linear systems on HPC clusters
• finite element analysis of multi-physics problems
• iterative solvers and preconditioners like multigrid and domain decomposition
• eigenvalue computations for large-scale problems
• portable scientific code across CPUs and GPUs
• nonlinear and transient solvers for engineering simulations
• build scientific applications from modular numerical packages

When to choose

• you need scalable, production-grade numerical libraries for HPC applications
• your problem involves coupled multi-physics or large sparse systems
• you want performance portability across CPU and GPU architectures
• you need a mature, actively maintained suite of scientific computing packages

When to avoid

• you need a lightweight math library for small problems or scripting
• you are not working in C++ or cannot integrate with its build system
• you only need simple matrix operations available in easier alternatives like NumPy or Eigen

Facets

library · maturity stable

math simulation graphics concurrency gpu-computing performance simulation data-science developer-tools cpp windows cross-platform scientific-computing high-performance-computing linear-solvers preconditioners finite-element multi-physics hpc numerical-libraries sandia-national-laboratories algorithms linux macos gpu

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