Toward Performance-Portable PETSc for GPU-based Exascale Systems
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by
Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew Knepley, Scott E. Kruger, Hannah Morgan, Todd Munson, Karl Rupp, Barry F. Smith, Stefano Zampini (+2 others)
2020
Abstract
The Portable Extensible Toolkit for Scientific computation (PETSc) library
delivers scalable solvers for nonlinear time-dependent differential and
algebraic equations and for numerical optimization.The PETSc design for
performance portability addresses fundamental GPU accelerator challenges and
stresses flexibility and extensibility by separating the programming model used
by the application from that used by the library, and it enables application
developers to use their preferred programming model, such as Kokkos, RAJA,
SYCL, HIP, CUDA, or OpenCL, on upcoming exascale systems. A blueprint for using
GPUs from PETSc-based codes is provided, and case studies emphasize the
flexibility and high performance achieved on current GPU-based systems.
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