• Wu J, Meng X, Xu J and Zhang H. Reliable Compilation Optimization Phase-ordering Exploration with Reinforcement Learning. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). (4058-4065).

    https://doi.org/10.1109/SMC42975.2020.9283132

  • Nobre R, Martins L and Cardoso J. (2016). A graph-based iterative compiler pass selection and phase ordering approach. ACM SIGPLAN Notices. 51:5. (21-30). Online publication date: 1-Aug-2016.

    https://doi.org/10.1145/2980930.2907959

  • Nobre R, Martins L and Cardoso J. A graph-based iterative compiler pass selection and phase ordering approach. Proceedings of the 17th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools, and Theory for Embedded Systems. (21-30).

    https://doi.org/10.1145/2907950.2907959

  • Burgstaller T, Garber D, Le V and Felfernig A. Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning. Proceedings of the 28th ACM International Systems and Software Product Line Conference. (36-46).

    https://doi.org/10.1145/3646548.3672588

  • Zhu M and Hao D. (2023). Compiler Auto-Tuning via Critical Flag Selection 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE). 10.1109/ASE56229.2023.00209. 979-8-3503-2996-4. (1000-1011).

    https://ieeexplore.ieee.org/document/10298446/

  • Ferres B, Muller O and Rousseau F. (2023). A Chisel Framework for Flexible Design Space Exploration through a Functional Approach. ACM Transactions on Design Automation of Electronic Systems. 28:4. (1-31). Online publication date: 31-Jul-2023.

    https://doi.org/10.1145/3590769

  • Wu J, Xu J, Meng X, Zhang H and Zhang Z. (2021). Enabling Reliability-Driven Optimization Selection with Gate Graph Attention Neural Network. International Journal of Software Engineering and Knowledge Engineering. 10.1142/S0218194020400240. 30:11n12. (1641-1665). Online publication date: 1-Nov-2020.

    https://www.worldscientific.com/doi/abs/10.1142/S0218194020400240

  • Wu J, Xu J, Meng X, Zhang H, Zhang Z and Li L. Compilation Optimization Pass Selection Using Gate Graph Attention Neural Network for Reliability Improvement. IEEE Access. 10.1109/ACCESS.2020.3016758. 8. (150422-150434).

    https://ieeexplore.ieee.org/document/9167239/

  • Prokopec A, Duboscq G, Leopoldseder D and Würthinger T. An optimization-driven incremental inline substitution algorithm for just-in-time compilers. Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization. (164-179).

    /doi/10.5555/3314872.3314893

  • Prokopec A, Duboscq G, Leopoldseder D and Wirthinger T. (2019). An Optimization-Driven Incremental Inline Substitution Algorithm for Just-in-Time Compilers 2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO). 10.1109/CGO.2019.8661171. 978-1-7281-1436-1. (164-179).

    https://ieeexplore.ieee.org/document/8661171/

  • Chebolu N and Wankar R. (2016). Tuning compilations landscape 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I). 10.1109/IC3I.2016.7918029. 978-1-5090-5256-1. (575-583).

    http://ieeexplore.ieee.org/document/7918029/

  • Junior N and Faustino da Silva A. (2015). The use of different strategies of search space reduction in mitigation of optimization selection problem 2015 XLI Latin American Computing Conference (CLEI). 10.1109/CLEI.2015.7360040. 978-1-4673-9143-6. (1-12).

    http://ieeexplore.ieee.org/document/7360040/

  • Daniel de Lima E and Faustino da Silva A. (2015). Improved batch elimination: A fast algorithm to identify and remove harmful compiler optimizations 2015 XLI Latin American Computing Conference (CLEI). 10.1109/CLEI.2015.7360010. 978-1-4673-9143-6. (1-8).

    http://ieeexplore.ieee.org/document/7360010/

  • Nobre R, Martins L and Cardoso J. Use of Previously Acquired Positioning of Optimizations for Phase Ordering Exploration. Proceedings of the 18th International Workshop on Software and Compilers for Embedded Systems. (58-67).

    https://doi.org/10.1145/2764967.2764978

  • Martins L, Nobre R, Delbem A, Marques E and Cardoso J. (2014). A clustering-based approach for exploring sequences of compiler optimizations 2014 IEEE Congress on Evolutionary Computation (CEC). 10.1109/CEC.2014.6900634. 978-1-4799-1488-3. (2436-2443).

    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6900634

  • Martins L, Nobre R, Delbem A, Marques E and Cardoso J. Exploration of compiler optimization sequences using clustering-based selection. Proceedings of the 2014 SIGPLAN/SIGBED conference on Languages, compilers and tools for embedded systems. (63-72).

    https://doi.org/10.1145/2597809.2597821

  • Martins L, Nobre R, Delbem A, Marques E and Cardoso J. (2014). Exploration of compiler optimization sequences using clustering-based selection. ACM SIGPLAN Notices. 49:5. (63-72). Online publication date: 5-May-2014.

    https://doi.org/10.1145/2666357.2597821

  • Jantz M and Kulkarni P. (2013). Exploring single and multilevel JIT compilation policy for modern machines 1. ACM Transactions on Architecture and Code Optimization. 10:4. (1-29). Online publication date: 1-Dec-2013.

    https://doi.org/10.1145/2541228.2541229

  • Stadler L, Duboscq G, Mössenböck H, Würthinger T and Simon D. An experimental study of the influence of dynamic compiler optimizations on Scala performance. Proceedings of the 4th Workshop on Scala. (1-8).

    https://doi.org/10.1145/2489837.2489846