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UID:submissions.pasc-conference.org_PASC24_sess132_msa166@linklings.com
SUMMARY:Enhancing GPU-Accelerated Scientific Computing in Julia with Ginkg
 o.jl
DESCRIPTION:Minisymposium\n\nYou Wu (ETH Zurich) and Tobias Ribizel and Ha
 rtwig Anzt (Technical University of Munich)\n\nSolving sparse linear syste
 ms on GPU-accelerated systems efficiently is a highly specialized and dema
 nding task. The implementation of efficient solvers incorporates not only 
 deep insights into the problem but also an extensive understanding of the 
 underlying hardware and the respective platform-specific languages. This i
 nterdisciplinary orchestration poses significant challenges in scientific 
 software development.\n\nThis talk presents recent developments on Ginkgo.
 jl, a Julia wrapper package of the modern C++-based sparse linear algebra 
 library Ginkgo. We demonstrate its performance through a series of benchma
 rks and showcase an example where we solve the sparse linear system assemb
 led from the finite element toolbox package, Ferrite.jl, using a precondit
 ioned iterative solver. We highlight its interoperability with existing pa
 ckages in the Julia package ecosystem.\n\nDomain: Climate, Weather, and Ea
 rth Sciences, Physics, Computational Methods and Applied Mathematics\n\nSe
 ssion Chairs: Ludovic Raess (University of Lausanne, ETH Zurich); Samuel O
 mlin (ETH Zurich / CSCS); and Michael Schlottke-Lakemper (University of Au
 gsburg)
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