HARTWIG ANZT

My research focus is on developing and optimizing numerical methods for efficient high-performance computing. In particular, I am interested in sparse linear algebra, iterative and asynchronous methods, Krylov solvers, preconditioning. The implementation of the fixed-point methods typically make heavy use of (data-parallel) batched routines, and possess relaxed synchronization requirements. I also work on fault tolerance, energy efficiency, as well as Multi- and Manycore (GPU) computing. The algorithm research is complemented with efforts aiming at sustainable software development in an academic setting, and a healthy software lifecycle... Ginkgo is a high-performance linear algebra library for manycore systems, with a focus on sparse solution of linear systems. It is implemented using modern C++, with GPU kernels implemented in CUDA and HIP. Ginkgo is part of the Extreme-scale Scientific Software Development Kit (xSDK)

Primary location: Knoxville United States