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UID:submissions.pasc-conference.org_PASC21_sess182_post108@linklings.com
SUMMARY:P03 - Ginkgo: A Node-Level Sparse Linear Algebra Library for High 
 Performance Computing
DESCRIPTION:Poster\n\nP03 - Ginkgo: A Node-Level Sparse Linear Algebra Lib
 rary for High Performance Computing\n\nAnzt, Cojean, Gruetmacher, Nayak, R
 ibiel...\n\nWith the rise of manycore accelerators like GPUs, there exists
  an increasing demand for linear algebra libraries that can efficiently ex
 ploit the concurrency and performance available in a single compute node. 
 At the same time, more and more application projects move towards an objec
 t-oriented software design based on C++ for both efficiency and ease of us
 e. In the Ginkgo software effort, we design and develop a next-generation 
 sparse linear algebra library able to run on multi- and manycore architect
 ures. The library design is guided by combining ecosystem extensibility wi
 th heavy, architecture-specific kernel optimization using the platform-nat
 ive languages CUDA (NVIDIA GPUs), HIP (AMD GPUs), or OpenMP (Intel/AMD mul
 ticore). An interface abstracting all central functionality allows for eas
 y integration of the Ginkgo library in finite element packages, and exampl
 es for using the Gingko high performance solver technology in the finite e
 lement packages deal.II and MFEM are publicly available in the open source
  repositories and part of the interoperability examples of the extreme-sca
 le Scientific Software Development Kit (xSDK).
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