Kim Liegeois is an R&D software engineer and computer scientist with a decade of experience building and optimizing highly parallel HPC libraries and applications for emerging architectures. Currently at AMD, Kim focuses on sparse linear algebra and solvers in rocSPARSE and rocALUTION, drawing on deep expertise in C++, Python, Kokkos, MPI, CUDA and OpenMP. Prior work at Sandia includes leading development of Kokkos Kernels’ batched sparse routines and creating PyAlbany and second-order derivative tooling for the Albany codebase, bridging research and production software. Their PhD work on GMRES with embedded ensemble propagation reflects a long-standing specialty in scalable iterative solvers and uncertainty quantification for large parametric systems. Based in Albuquerque, Kim combines hands-on kernel-level optimization with a track record of shipping reusable HPC components across national labs and industry.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Engineering science, Doctor of Philosophy - PhD, Engineering science at Université de Liège
Kokkos C++ Performance Portability Programming EcoSystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
Contributions:318 pushes, 57 branches in 3 years 3 months
mathgraph-kernelsportabilitysparsekokkos
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Kim Liegeois - SMTS Software Development Eng. at AMD