Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale

Journal Article (2026)
Author(s)

Matthias Mayr (Universität der Bundeswehr München)

Alexander Heinlein (TU Delft - Numerical Analysis)

Christian Glusa (Sandia National Laboratories)

Sivasankaran Rajamanickam (Sandia National Laboratories)

Maarten Arnst (Université de Liège)

Roscoe A. Bartlett (Sandia National Laboratories)

Luc Berger-Vergiat (Sandia National Laboratories)

Erik G. Boman (Sandia National Laboratories)

Karen Devine (Sandia National Laboratories)

More Authors (External organisation)

Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.1145/3802822 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Numerical Analysis
Journal title
ACM Transactions on Mathematical Software
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13

Abstract

Trilinos is a community-developed, open-source software framework that facilitates building large-scale, complex, multiscale, multiphysics simulation code bases for scientific and engineering problems. Since the Trilinos framework has undergone substantial changes to support new applications and new hardware architectures, this document is an update to “An Overview of the Trilinos project” by Heroux et al. (ACM Transactions on Mathematical Software, 31(3):397–423, 2005). It describes the design of Trilinos, introduces its new organization in product areas, and highlights established and new features available in Trilinos. Particular focus is put on the modernized software stack based on the Kokkos ecosystem to deliver performance portability across heterogeneous hardware architectures. This paper also outlines the organization of the Trilinos community and the contribution model to help onboard interested users and contributors.