Scheduling a Parallel Sparse Direct Solver to Multiple GPUs. - Kyungjoo Kim; Victor Eijkhout (IPDPS Workshops, 2013)

A Parallel Sparse Direct Solver via Hierarchical DAG Scheduling. - Kyungjoo Kim; Victor Eijkhout (ACM Trans. Math. Softw., 2014)

A Comparison of High-Level Programming Choices for Incomplete Sparse Factorization Across Different Architectures. - Joshua Dennis Booth; Kyungjoo Kim; Sivasankaran Rajamanickam (IPDPS Workshops, 2016)

Task Parallel Incomplete Cholesky Factorization using 2D Partitioned-Block Layout. - Kyungjoo Kim; Sivasankaran Rajamanickam; George Stelle; H. Carter Edwards; Stephen L. Olivier (CoRR, 2016)

Designing vector-friendly compact BLAS and LAPACK kernels. - Kyungjoo Kim; Timothy B. Costa; Mehmet Deveci; Andrew M. Bradley; Simon D. Hammond; Murat Efe Guney; Sarah Knepper; Shane Story; Sivasankaran Rajamanickam (SC, 2017)

Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics. - Wenxiao Pan; Kyungjoo Kim; Mauro Perego; Alexandre M. Tartakovsky; Michael L. Parks (J. Comput. Phys., 2017)

Tacho: Memory-Scalable Task Parallel Sparse Cholesky Factorization. - Kyungjoo Kim; H. Carter Edwards; Sivasankaran Rajamanickam (IPDPS Workshops, 2018)

Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU. - Mark P. Blanco; Tze Meng Low; Kyungjoo Kim (HPEC, 2019)

TChem: A performance portable parallel software toolkit for complex kinetic mechanisms. - Kyungjoo Kim; Oscar H. Díaz-Ibarra; Habib N. Najm; Judit Zádor; Cosmin Safta (Comput. Phys. Commun., 2023)

Solving Millions of Eigenvectors in Large-Scale Quantum-Many-Body-Theory Computations. - Alexey Tal; Martijn Marsman; Georg Kresse; Anton Anders; Samuel Rodríguez; Kyungjoo Kim; Alexander Kalinkin; Alexey Romanenko; Matthias Noack; Patrick Atkinson; Stefan Maintz (ISC, 2024)

CSPlib: A performance portable parallel software toolkit for analyzing complex kinetic mechanisms. - Oscar H. Díaz-Ibarra; Kyungjoo Kim; Cosmin Safta; Habib N. Najm (Comput. Phys. Commun., 2024)

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)