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DTSTAMP:20230831T095745Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230626T112000
DTEND;TZID=Europe/Stockholm:20230626T115000
UID:submissions.pasc-conference.org_PASC23_sess104_pos126@linklings.com
SUMMARY:P25 - Ginkgo — A High-Performance Portable Numerical Linear Algebr
 a Software
DESCRIPTION:Poster\n\nTerry Cojean and Isha Aggarwal (Karlsruhe Institute 
 of Technology); Natalie Beams and Hartwig Anzt (University of Tennessee); 
 and Yen-Chen Chen, Thomas Grützmacher, Fritz Göbel, Marcel Koch, Gregor Ol
 enik, Pratik Nayak, Tobias Ribizel, and Yu-Hsiang Tsai (Karlsruhe Institut
 e of Technology)\n\nNumerical linear algebra building blocks are used in m
 any modern scientific applications codes. Ginkgo is an open-source numeric
 al linear algebra software designed around the principles of portability, 
 flexibility, usability, and performance. The Ginkgo library is integrated 
 into the deal.II, MFEM, OpenFOAM, HYTEG, Sundials, XGC, HiOp, and OpenCARP
  scientific applications, ranging from finite element libraries to CFD, po
 wer grid optimization, and heart simulations. The Ginkgo library grew from
  a math library supporting CPUs and NVIDIA GPUs to an ecosystem that has n
 ative support for GPU architectures from NVIDIA, AMD, and Intel, which can
  scale up to hundreds of GPUs. One of the keys to this success is the rapi
 d development and availability of new algorithmic functionalities in the G
 inkgo library such as, but not limited to, Multigrid preconditioner, advan
 ced mixed-precision iterative solvers and preconditioners, a sparse iterat
 ive batched functionality, sparse direct solvers, and the distributed MPI-
 based backend. This poster will expose Ginkgo’s library design, performanc
 e results on a wide range of hardware, and integration within key applicat
 ions.\n\nSession Chair: Elaine M. Raybourn (Sandia National Laboratories)
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