Trilinos: Enabling Scientific Computing across Diverse Hardware Architectures at Scale

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Authors: Matthias Mayr, Alexander Heinlein, Christian Glusa, Sivasankaran Rajamanickam, Maarten Arnst, Roscoe Bartlett, Luc Berger-Vergiat, Erik G. Boman, Karen Devine, Graham Harper, Michael Heroux, Mark Frederick Hoemmen
+21 more Jonathan Joseph Hu, Brian Kelley, Kyungjoo Kim, Drew Kouri, Paul Kuberry, Kim Liegeois, Curtis Ober, Roger P. Pawlowski, Carl Pearson, Mauro Perego, Eric Phipps, Denis Ridzal, Nathan V. Roberts, Christopher Siefert, Heidi K. Thornquist, Romin Tomasetti, Christian R. Trott, Raymond S. Tuminaro, James Willenbring, Michael M. Wolf, Ichitaro Yamazaki
Cited by: 2
References: 115

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 article also outlines the organization of the Trilinos community and the contribution model to help onboard interested users and contributors.

Fields of Study & Subjects

Parallel Computing and Optimization Techniques Scientific Computing and Data Management Distributed and Parallel Computing Systems

Publication details

Journal / source
ACM Transactions on Mathematical Software
Publisher
Association for Computing Machinery (ACM)
Volume
52
Issue
2
Pages
1–34
Publication date
30 March 2026
Language
EN