Runtime WCET Estimation Using Machine Learning

Author:

Yun Sangwoon1ORCID,Kang Kyungtae2ORCID

Affiliation:

1. Hanyang University, Ansan, Republic of Korea

2. Hanyang Univeristy, Ansan, Republic of Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation (IITP)

MSIT, Korea, under the Grand Information Tech- nology Research Center support program

Publisher

ACM

Reference6 articles.

1. A Survey of Probabilistic Timing Analysis Techniques for Real-time Systems;Davis R. I.;Leibniz Transactions on Embedded Systems,2019

2. Z. Bai , H. Cassé , M. D. Michiel , T. Carle , and C. Rochange . 2020 . Improving the Performance of WCET Analysis in the Presence of Variable Latencies. In The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES'20) . 119--130 Z. Bai, H. Cassé, M. D. Michiel, T. Carle, and C. Rochange. 2020. Improving the Performance of WCET Analysis in the Presence of Variable Latencies. In The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES'20). 119--130

3. A Framework for Calculating WCET Based on Execution Decision Diagrams

4. A. Kritikakou , C. Pagetti , O. Baldellon , M. Roy , and C. Rochange . 2014. Run-Time Control to Increase Task Parallelism In Mixed-Critical Systems . In 2014 26th Euromicro Conference on Real-Time Systems. 119--128 A. Kritikakou, C. Pagetti, O. Baldellon, M. Roy, and C. Rochange. 2014. Run-Time Control to Increase Task Parallelism In Mixed-Critical Systems. In 2014 26th Euromicro Conference on Real-Time Systems. 119--128

5. J. Chen , S. S. Banerjee , Z. T. Kalbarczyk , and R. K. Iyer . 2020. Machine Learning for Load Balancing in the Linux Kernel . In Proceedings of the 11th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys'20) . 67--74 J. Chen, S. S. Banerjee, Z. T. Kalbarczyk, and R. K. Iyer. 2020. Machine Learning for Load Balancing in the Linux Kernel. In Proceedings of the 11th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys'20). 67--74

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