Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs. - Nathan D. Ellingwood; Youbing Yin; Matthew R. Smith 001; Ching-Long Lin (Comput. Methods Programs Biomed., 2016)

Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts. - Joshua Dennis Booth; Nathan D. Ellingwood; Heidi K. Thornquist; Sivasankaran Rajamanickam (Parallel Comput., 2017)

A GPU-based symmetric non-rigid image registration method in human lung. - Babak Haghighi; Nathan D. Ellingwood; Youbing Yin; Eric A. Hoffman; Ching-Long Lin (Medical Biol. Eng. Comput., 2018)

Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architectures. - Ichitaro Yamazaki; Sivasankaran Rajamanickam; Nathan D. Ellingwood (ICPP, 2020)

Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications. - Stephen L. Olivier; Nathan D. Ellingwood; Jonathan W. Berry; Daniel M. Dunlavy (HPEC, 2021)

Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels. - Sivasankaran Rajamanickam; Seher Acer; Luc Berger-Vergiat; Vinh Q. Dang; Nathan D. Ellingwood; Evan Harvey; Brian Kelley; Christian R. Trott; Jeremiah J. Wilke; Ichitaro Yamazaki (CoRR, 2021)

Kokkos 3: Programming Model Extensions for the Exascale Era. - Christian R. Trott; Damien Lebrun-Grandié; Daniel Arndt 003; Jan Ciesko; Vinh Q. Dang; Nathan D. Ellingwood; Rahulkumar Gayatri; Evan Harvey; Daisy S. Hollman; Dan Ibanez; Nevin Liber; Jonathan R. Madsen; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

ShyLU node: On-node Scalable Solvers and Preconditioners Recent Progresses and Current Performance. - Ichitaro Yamazaki; Nathan D. Ellingwood; Sivasankaran Rajamanickam (CoRR, 2025)