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Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures
Reference
Vikash Kumar, Behnaz Ranjbar, Akash Kumar, "Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures", In IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–15, March 2024. [doi]
Bibtex
@article{VKumar_2024,
doi = {10.1109/ACCESS.2024.3379018},
year = 2024,
month = {March},
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
pages = {1--15},
author = {Vikash Kumar and Behnaz Ranjbar and Akash Kumar},
title = {Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures},
journal = {{IEEE} Access}
}
doi = {10.1109/ACCESS.2024.3379018},
year = 2024,
month = {March},
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
pages = {1--15},
author = {Vikash Kumar and Behnaz Ranjbar and Akash Kumar},
title = {Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures},
journal = {{IEEE} Access}
}
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