Kasia Świrydowicz
Senior Member Of Technical Staff at AMD
Brevard, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolKasia Świrydowicz is a Senior Member of Technical Staff and computational scientist with 11 years of experience building exascale-ready linear solvers, preconditioners, and high-performance numerical software for GPUs and supercomputers. She has driven production-ready implementations of low-synchronization GMRES and Krylov-subspace recycling in projects deployed on Summit and worked across national labs and academia (PNNL, NREL, AMD, Virginia Tech). With a PhD in mathematics and a background that shifted from pure math to mathematical biology to scientific computing, she brings deep numerical-linear-algebra expertise plus practical parallel programming skills (CUDA, MPI, OpenMP). Colleagues rely on her ability to push scalability to hardware limits while translating cutting-edge algorithms into robust, deployable code. An often-overlooked strength is her teaching and mentoring pedigree, having developed curricula and hands-on courses that bridge theory and high-performance implementation.
11 years of coding experience
10 years of employment as a software developer
PhD, mathematics, 3.88/4.0, PhD, mathematics, 3.88/4.0 at Virginia TechMSc, mathematics, computer science, MSc, mathematics, computer science at Uniwersytet im. Adama Mickiewicza w PoznaniuErasmus, Computer Engenering, Mathematics, Erasmus, Computer Engenering, Mathematics at Università degli Studi di Genova
Github Skills (54)
constrained-optimization10
nonlinear10
python10
optimization-methods10
solver10
linux10
nonlinear-programming10
configurations10
nonlinear-optimization10
optimization10
mixed-integer-programming9
nonlinear-optimization-algorithms9
hpc9
windows9
mpi9
Programming languages (6)
Github contributions (5)
kswirydo/CEED-Ax
Jan 2018 - Oct 2018
Contributions:18 commits, 12 pushes, 1 branch in 8 months
Exawind/hypre
May 2018 - May 2020
Contributions:61 pushes, 10 branches in 1 year 11 months
multigridparallelsolverssparselinear
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