Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI. - Joshua Hoke Davis; Tao Gao; Sunita Chandrasekaran; Heike Jagode; Anthony Danalis; Jack J. Dongarra; Pavan Balaji; Michela Taufer (PARCO, 2019)

Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures. - Joshua Hoke Davis; Tao Gao; Sunita Chandrasekaran; Michela Taufer (CoRR, 2019)

Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs. - Joshua Hoke Davis; Christopher S. Daley; Swaroop Pophale; Thomas Huber; Sunita Chandrasekaran; Nicholas J. Wright (WACCPD@SC, 2020)

ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP. - Thomas Huber; Swaroop Pophale; Nolan Baker; Michael Carr; Nikhil Rao; Jaydon Reap; Kristina Holsapple; Joshua Hoke Davis; Tobias Burnus; Seyong Lee; David E. Bernholdt; Sunita Chandrasekaran (P3HPC@SC, 2022)

Efficient GPU Implementation of Automatic Differentiation for Computational Fluid Dynamics. - Mohammad Zubair; Desh Ranjan; Aaron Walden; Gabriel Nastac; Eric J. Nielsen; Boris Diskin; Marc F. Paterno; Samuel Jung; Joshua Hoke Davis (HiPC, 2023)

Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms. - Joshua Hoke Davis; Justin Shafner; Daniel Nichols; Nathan Grube; Pino Martin; Abhinav Bhatele (IPDPS, 2023)

Can Large Language Models Write Parallel Code? - Daniel Nichols; Joshua Hoke Davis; Zhaojun Xie; Arjun Rajaram; Abhinav Bhatele (HPDC, 2024)

An Evaluative Comparison of Performance Portability across GPU Programming Models. - Joshua Hoke Davis; Pranav Sivaraman; Isaac Minn; Konstantinos Parasyris; Harshitha Menon; Giorgis Georgakoudis; Abhinav Bhatele (CoRR, 2024)

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. - Joshua Hoke Davis; Daniel Nichols; Ishan Khillan; Abhinav Bhatele (CoRR, 2025)