Joshua Hoke Davis

According to our database, Joshua Hoke Davis authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

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

CoRR, 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