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U.S. Department of Energy
Office of Scientific and Technical Information

Data Race Detection Using Large Language Models

Conference ·
 [1];  [2];  [3];  [3]
  1. Iowa State University
  2. University of California, Merced
  3. Lawrence Livermore National Laboratory

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC52-07NA27344
OSTI ID:
2328226
Report Number(s):
LLNL-CONF-853160; 1080939
Country of Publication:
United States
Language:
English

References (10)

ChatGPT for good? On opportunities and challenges of large language models for education journal April 2023
OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control
  • Ding, Xianzhong; Du, Wan; Cerpa, Alberto
  • BuildSys '19: The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation https://doi.org/10.1145/3360322.3360857
conference November 2019
ompVerify: Polyhedral Analysis for the OpenMP Programmer book January 2011
DataRaceBench
  • Liao, Chunhua; Lin, Pei-Hung; Asplund, Joshua
  • Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1145/3126908.3126958
conference November 2017
Locksmith journal June 2006
Large Language Models Meet NL2Code: A Survey conference January 2023
DeepRace: A learning-based data race detector conference April 2021
Mb2c
  • Ding, Xianzhong; Du, Wan; Cerpa, Alberto E.
  • Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation https://doi.org/10.1145/3408308.3427986
conference November 2020
DRLIC: Deep Reinforcement Learning for Irrigation Control conference May 2022
Relay
  • Voung, Jan Wen; Jhala, Ranjit; Lerner, Sorin
  • Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering https://doi.org/10.1145/1287624.1287654
conference September 2007

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