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 Michael Kelley; Christian R. Trott; Jeremiah J. Wilke; Ichitaro Yamazaki (CoRR, 2021)

Two-Stage Gauss-Seidel Preconditioners and Smoothers for Krylov Solvers on a GPU cluster. - Luc Berger-Vergiat; Brian Michael Kelley; Sivasankaran Rajamanickam; Jonathan J. Hu; Katarzyna Swirydowicz; Paul Mullowney; Stephen J. Thomas; Ichitaro Yamazaki (CoRR, 2021)

Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening. - Brian Michael Kelley; Sivasankaran Rajamanickam (IPDPS, 2022)

Mixed Precision $s$-step Conjugate Gradient with Residual Replacement on GPUs. - Ichitaro Yamazaki; Erin C. Carson; Brian Michael Kelley (IPDPS, 2022)

Distributed Sparse Tensor Computations in MLIR. - Miheer Vaidya; Shreya Singh; Devanshu Mantri; Michael Shannon Eydenberg; Brian Michael Kelley; Sivasankaran Rajamanickam; Atanas Rountev; P. Sadayappan (SC Workshops, 2025)

Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale. - Matthias Mayr; Alexander Heinlein; Christian A. Glusa; Siva Rajamanickam; Maarten Arnst; Roscoe A. Bartlett; Luc Berger-Vergiat; Erik G. Boman; Karen D. Devine; Graham Harper; Michael A. Heroux; Mark Hoemmen; et al. (CoRR, 2025)

Performance Portable Gradient Computations Using Source Transformation. - Kim Liegeois; Brian Michael Kelley; Eric T. Phipps; Sivasankaran Rajamanickam; Vassil Vassilev (CoRR, 2025)

LAPIS: A Performance Portable, High Productivity Compiler Framework. - Brian Michael Kelley; Sivasankaran Rajamanickam (CoRR, 2025)