Papers › Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale
Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale
Matthias Mayr, Alexander Heinlein, Christian Glusa, Siva Rajamanickam, Maarten Arnst, Roscoe Bartlett, Luc Berger-Vergiat, Erik Boman, Karen Devine, Graham Harper, Michael Heroux, Mark Hoemmen, Jonathan Hu, Brian Kelley, Kyungjoo Kim, Drew P. Kouri, Paul Kuberry, Kim Liegeois, Curtis C. Ober, Roger Pawlowski, Carl Pearson, Mauro Perego, Eric Phipps, Denis Ridzal, Nathan V. Roberts, Christopher Siefert, Heidi Thornquist, Romin Tomasetti, Christian R. Trott, Raymond S. Tuminaro, James M. Willenbring, Michael M. Wolf, Ichitaro Yamazaki
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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.
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