Joshua Hoke Davis

According to our database, Joshua Hoke Davis authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

KEET: Explaining Performance of GPU Kernels Using LLM Agents.

Joshua Hoke Davis, Klaudiusz Rydzy, Srinivasan Ramesh, Aadit Nilay, Daniel Nichols, Swapna Raj, Nikhil Jain, Abhinav Bhatele

CoRR, May, 2026

2025

Reproducibility Report for SC25 Paper MANS: Efficient and Portable ANS Encoding for Multi-Byte Integer Data on CPUs and GPUs.

Joshua Hoke Davis

Proceedings of the International Conference for High Performance Computing, 2025

Taking GPU Programming Models to Task for Performance Portability.

Joshua Hoke Davis, Pranav Sivaraman, Joy Kitson, Konstantinos Parasyris, Harshitha Menon, Isaac Minn, Giorgis Georgakoudis, Abhinav Bhatele

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks.

Joshua Hoke Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele

Proceedings of the 54th International Conference on Parallel Processing, 2025

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

Can Large Language Models Write Parallel Code?

Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

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

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022

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

Proceedings of the IEEE/ACM International Workshop on Performance, 2022

2020

Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs.

Joshua Hoke Davis, Christopher S. Daley, Swaroop Pophale, Thomas Huber, Sunita Chandrasekaran, Nicholas J. Wright

Proceedings of the Accelerator Programming Using Directives - 7th International Workshop, 2020

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

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

Proceedings of the Parallel Computing: Technology Trends, 2019