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2020 – today
- 2024
[c2]Matthew T. Dearing
:
Deep Learning Surrogate Models for Network Simulation. SIGSIM-PADS 2024: 65-66- [i4]Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Richy, William Allcocky, Michael E. Papka:
MRSch: Multi-Resource Scheduling for HPC. CoRR abs/2403.16298 (2024) - [i3]Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor:
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CoRR abs/2407.01638 (2024) - 2023
- [i2]Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara:
Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities. CoRR abs/2312.01291 (2023) - 2022
- [c1]Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka:
MRSch: Multi-Resource Scheduling for HPC. CLUSTER 2022: 47-57 - 2020
- [i1]Matthew T. Dearing, Xiaoyan Wang:
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism. CoRR abs/2012.10840 (2020)
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