Matthew T. Dearing

13 papers A* 1C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs.
CoRR
Melanie Cornelius, Greg Cross, Shilpika, Matthew T. Dearing, Zhiling Lan
2025 A* conf
Generative AI Uses and Risks for Knowledge Workers in a Science Organization.
CHI
Kelly B. Wagman, Matthew T. Dearing, Marshini Chetty
2025 J jnl
Generative AI Uses and Risks for Knowledge Workers in a Science Organization.
CoRR
Kelly B. Wagman, Matthew T. Dearing, Marshini Chetty
2025 J jnl
Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes.
CoRR
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2025 J jnl
Prompt-Aware Scheduling for Low-Latency LLM Serving.
CoRR
Yiheng Tao, Yihe Zhang, Matthew T. Dearing, Xin Wang, Yuping Fan, Zhiling Lan
2024 J jnl
Benchmarking large language models for materials synthesis: the case of atomic layer deposition.
CoRR
Angel Yanguas-Gil, Matthew T. Dearing, Jeffrey W. Elam, Jessica C. Jones, Sungjoon Kim, Adnan Mohammad, Chi Thang Nguyen, Bratin Sengupta
2024 — conf
Deep Learning Surrogate Models for Network Simulation.
SIGSIM-PADS
Matthew T. Dearing
2024 — conf
LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes.
CLUSTER Workshops
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024 J jnl
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes.
CoRR
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024 J jnl
MRSch: Multi-Resource Scheduling for HPC.
CoRR
Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Richy, William Allcocky, Michael E. Papka
2023 J jnl
Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities.
CoRR
Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara
2022 C conf
MRSch: Multi-Resource Scheduling for HPC.
CLUSTER
Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
2020 J jnl
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism.
CoRR
Matthew T. Dearing, Xiaoyan Wang