The PetscSF Scalable Communication Layer

Zhang, Junchao; Brown, Jed; Balay, Satish; Faibussowitsch, Jacob; Knepley, Matthew G.; Marin, Oana; Mills, Richard; Munson, Todd; Barry, Smith; Zampini, Stefano

doi:10.1109/tpds.2021.3084070

Cited by 20 publications

(9 citation statements)

References 15 publications

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“…For example, a large shift in HPC is currently underway with incorporating graphical processing units (GPUs) into both high-end and moderate-scale scientific computing. Major organizations such as DOE have responded with, for example, the Exascale Computing Project, where community open source projects, including PETSc, are aggressively developing innova-tions in data structures and algorithms for new architectures [8], [12]. The PETSc community empowers developers to be creative by providing the autonomy to be innovative while still maintaining guidelines for development [1] and town squares to organize overall development plans.…”

Section: Responding To Changementioning

confidence: 99%

The PETSc Community Is the Infrastructure

Adams¹,

Balay²,

Marin³

et al. 2022

Preprint

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The communities who develop and support open source scientific software packages are crucial to the utility and success of such packages. Moreover, these communities form an important part of the human infrastructure that enables scientific progress. This paper discusses aspects of the PETSc (Portable Extensible Toolkit for Scientific Computation) community, its organization, and technical approaches that enable community members to help each other efficiently.To meet the technological challenges of the 21st century, the simultaneous revolutions in data science and computing architectures need to be mirrored by a revolution in scientific simulation that provides flexible, scalable, multiphysics multiscale capabilities in both traditional and new areas. This simulation technology rests on a foundation of numerical algorithms and software for Computing in Science and Engineering

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Section: Responding To Changementioning

confidence: 99%

The PETSc Community Is the Infrastructure

Adams¹,

Balay²,

Marin³

et al. 2022

Preprint

Self Cite

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“…PETSc provides matrix and vector operations on the GPU, including the Galerkin product P T ctof A f P ctof in algebraic multigrid setup, with ability to use external libraries like Kokkos [34] and hypre [35] as well as CUDA and ROCm vendor libraries. Communication and computation are overlapped where possible, with message packing taking place on the GPU along with persistent nonblocking sends and receives using GPU-aware MPI, all via the "star forest" [36] abstraction.…”

Section: Parallelism and Gpusmentioning

confidence: 99%

Performance Portable Solid Mechanics via Matrix-Free $p$-Multigrid

Brown¹,

Barra²,

Beams³

et al. 2022

Preprint

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Finite element analysis of solid mechanics is a foundational tool of modern engineering, with low-order finite element methods and assembled sparse matrices representing the industry standard for implicit analysis. We use performance models and numerical experiments to demonstrate that highorder methods greatly reduce the costs to reach engineering tolerances while enabling effective use of GPUs. We demonstrate the reliability, efficiency, and scalability of matrix-free p-multigrid methods with algebraic multigrid coarse solvers through large deformation hyperelastic simulations of multiscale structures. We investigate accuracy, cost, and execution time on multi-node CPU and GPU systems for moderate to large models using AMD MI250X (OLCF Crusher), NVIDIA A100 (NERSC Perlmutter), and V100 (LLNL Lassen and OLCF Summit), resulting in order of magnitude efficiency improvements over a broad range of model properties and scales. We discuss efficient matrix-free representation of Jacobians and demonstrate how automatic differentiation enables rapid development of nonlinear material models without impacting debuggability and workflows targeting GPUs.

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“…For example, a large shift in HPC is underway with incorporating graphical processing units (GPUs) into scientific computing. Major organizations, such as DOE have responded with, for example, the ECP, where community open-source projects, including PETSc, are aggressively developing innovations in data structures and algorithms for new architectures, 7,11 The PETSc community empowers developers to be creative by providing the autonomy to be innovative while still maintaining guidelines for development f and town squares to organize overall development plans. This approach, along with PETSc's wide variety of contributors, enables a level of agility that might not otherwise occur.…”

Section: Responding To Changementioning

confidence: 99%

The PETSc Community as Infrastructure

Adams¹,

Balay

Marin

et al. 2022

Comput. Sci. Eng.

Self Cite

View full text Add to dashboard Cite

The communities that develop and support open-source scientific software packages are crucial to the utility and success of such packages. Moreover, they form an important part of the human infrastructure that enables scientific progress. This article discusses aspects of the Portable Extensible Toolkit for Scientific Computation community, its organization, and technical approaches that enable community members to help each other efficiently and effectively.

show abstract

The PetscSF Scalable Communication Layer

Cited by 20 publications

References 15 publications

The PETSc Community Is the Infrastructure

The PETSc Community Is the Infrastructure

Performance Portable Solid Mechanics via Matrix-Free $p$-Multigrid

The PETSc Community as Infrastructure

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