Brian Michael Kelley

According to our database, Brian Michael Kelley authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LAPIS: A Performance Portable, High Productivity Compiler Framework.

Brian Michael Kelley, Sivasankaran Rajamanickam

CoRR, September, 2025

Performance Portable Gradient Computations Using Source Transformation.

Kim Liegeois, Brian Michael Kelley, Eric T. Phipps, Sivasankaran Rajamanickam, Vassil Vassilev

CoRR, July, 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, Jonathan J. Hu, Brian Michael Kelley, Kyungjoo Kim, Drew P. Kouri, Paul Kuberry, Kim Liegeois, Curtis C. Ober, Roger P. Pawlowski, Carl Pearson, Mauro Perego, Eric T. Phipps, Denis Ridzal, Nathan V. Roberts, Christopher M. Siefert, Heidi Thornquist, Romin Tomasetti, Christian R. Trott, Raymond S. Tuminaro, James M. Willenbring, Michael M. Wolf, Ichitaro Yamazaki

CoRR, March, 2025

Distributed Sparse Tensor Computations in MLIR.

Miheer Vaidya, Shreya Singh, Devanshu Mantri, Michael Shannon Eydenberg, Brian Michael Kelley, Sivasankaran Rajamanickam, Atanas Rountev, P. Sadayappan

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

2022

Mixed Precision $s$-step Conjugate Gradient with Residual Replacement on GPUs.

Ichitaro Yamazaki, Erin C. Carson, Brian Michael Kelley

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening.

Brian Michael Kelley, Sivasankaran Rajamanickam

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

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

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