xSDK: an Ecosystem of Interoperable, Independently Developed Math Libraries
Dr. Ulrike Meier Yang
Mathematical Algorithms and Computing Group, Lead
Center for Applied Scientific Computing
Lawrence Livermore National Laboratory
"xSDK: an Ecosystem of Interoperable, Independently Developed Math Libraries"
Wednesday, September 20, 2:00-2:40 pm UTC (30min talk + 10min questions)
7 am PDT / 9 am CDT / 10 am EDT / 2 pm UTC / 4 pm CEST / 11 pm JST
Watch this webinar here and download the slide deck here!
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Abstract: Emerging extreme-scale architectures provide developers of application codes—including multiphysics modeling and the coupling of simulations and data analytics—unprecedented resources for larger simulations achieving more accurate solutions than ever before. Achieving high performance on these new heterogeneous architectures requires substantial expertise and knowledge. To meet these challenges in a timely fashion and make the best use of these capabilities requires a variety of mathematical libraries that are developed by diverse, independent teams throughout the HPC community. It is not sufficient for these libraries individually to deliver high performance; they also need to work well when built and used in combination within applications. The extreme-scale scientific software development kit (xSDK) provides infrastructure for and interoperability of a collection of more than twenty complementary numerical libraries to support rapid and efficient development of high-quality applications. This presentation will summarize the elements that are needed to make the xSDK an effective ecosystem of interoperable math libraries that can support large-scale application codes. We will also discuss efforts to provide performance portability and sustainability, including xSDK testing strategies.
Bio: Ulrike Meier Yang leads the Mathematical Algorithms and Computing group in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL). She leads the xSDK4ECP (Extreme-scale Scientific Software Development Kit) for the U.S. Department of Energy’s Exascale Computing Project. She is a member of the Scalable Linear Solvers and hypre projects, and she is the Linear Solvers Topical Area Lead in the SciDAC FASTMath Institute. Her research interests are numerical algorithms, particularly iterative linear system solvers and algebraic multigrid methods, high-performance computing, parallel algorithms, performance evaluation, and scientific software design. She serves on the SIAM Board of Trustees and the editorial board of the SIAM Journal for Matrix Analysis and Applications. Prior to joining LLNL in 1998, she was a staff member in the Center for Supercomputing Research and Development at the University of Illinois at Urbana-Champaign (1985-1995) and in the Central Institute of Applied Mathematics at the Research Centre Jülich, Germany (1983-1985). She earned her Ph.D. in Computer Science at the University of Illinois at Urbana-Champaign in 1995 and a Diploma in mathematics at the Ruhr-University Bochum, Germany, in 1983.
