9 citations · 23 across the 6 of their papers we have counts for
6 papers · 1 filter
Understanding performance variability in standard and pipelined parallel Krylov solvers
Hannah Morgan, Patrick Sanan, Matthew G. Knepley +1
In this work, we collect data from runs of Krylov subspace methods and pipelined Krylov algorithms in an effort to understand and model the impact of machine noise and other source…
Toward Performance-Portable PETSc for GPU-based Exascale Systems
Richard Tran Mills, Mark F. Adams, Satish Balay +11
The Portable Extensible Toolkit for Scientific computation (PETSc) library delivers scalable solvers for nonlinear time-dependent differential and algebraic equations and for numer…
Fully Parallel Mesh I/O using PETSc DMPlex with an Application to Waveform Modeling
Vaclav Hapla, Matthew G. Knepley, Michael Afanasiev +4
Large-scale PDE simulations using high-order finite-element methods on unstructured meshes are an indispensable tool in science and engineering. The widely used open-source PETSc l…
Comparative study of finite element methods using the Time-Accuracy-Size (TAS) spectrum analysis
Justin Chang, Maurice S. Fabien, Matthew G. Knepley +1
We present a performance analysis appropriate for comparing algorithms using different numerical discretizations. By taking into account the total time-to-solution, numerical accur…
Extreme-scale Multigrid Components within PETSc
Dave A. May, Patrick Sanan, Karl Rupp +2
Elliptic partial differential equations (PDEs) frequently arise in continuum descriptions of physical processes relevant to science and engineering. Multilevel preconditioners repr…
Flexible, Scalable Mesh and Data Management using PETSc DMPlex
Michael Lange, Matthew G. Knepley, Gerard J. Gorman
Designing a scientific software stack to meet the needs of the next-generation of mesh-based simulation demands, not only scalable and efficient mesh and data management on a wide…