R. Whaley and J. Dongarra, Automatically Tuned Linear Algebra Software, Proceedings of the IEEE/ACM SC98 Conference, 1998.
DOI : 10.1109/SC.1998.10004

K. Cooper, P. Schielke, and D. Subramanian, Optimizing for reduced code space using genetic algorithms, Proceedings of the Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), pp.1-9, 1999.

F. Bodin, T. Kisuki, P. Knijnenburg, M. O-'boyle, and E. Rohou, Iterative compilation in a non-linear optimisation space, Proceedings of the Workshop on Profile and Feedback Directed Compilation, 1998.
URL : https://hal.archives-ouvertes.fr/inria-00475919

F. Matteo and S. Johnson, FFTW: An adaptive software architecture for the FFT, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.1381-1384, 1998.

G. Fursin, M. O-'boyle, and P. Knijnenburg, Evaluating Iterative Compilation, Proceedings of the Workshop on Languages and Compilers for Parallel Computers, pp.305-315, 2002.
DOI : 10.1007/11596110_24

P. Kulkarni, W. Zhao, H. Moon, K. Cho, D. Whalley et al., Finding effective optimization phase sequences, Proceedings of the Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), pp.12-23, 2003.

S. Triantafyllis, M. Vachharajani, N. Vachharajani, and D. August, Compiler optimization-space exploration, International Symposium on Code Generation and Optimization, 2003. CGO 2003., pp.204-215, 2003.
DOI : 10.1109/CGO.2003.1191546

B. Singer and M. Veloso, Learning to predict performance from formula modeling and training data, Proceedings of the Conference on Machine Learning, 2000.

Z. Pan and R. Eigenmann, Fast and effective orchestration of compiler optimizations for automatic performance tuning, Proceedings of the International Symposium on Code Generation and Optimization (CGO), pp.319-332, 2006.

K. Heydemann and F. Bodin, Iterative compilation for two antagonistic criteria: Application to code size and performance, Proceedings of the 4th Workshop on Optimizations for DSP and Embedded Systems, 2006.

K. Hoste and L. Eeckhout, Cole, Proceedings of the sixth annual IEEE/ACM international symposium on Code generation and optimization , CGO '08, 2008.
DOI : 10.1145/1356058.1356080

A. Nisbet, GAPS: Genetic algorithm optimised parallelization, Proceedings of the Workshop on Profile and Feedback Directed Compilation in conjunction with PACT'98, 1998.

A. Monsifrot, F. Bodin, and R. Quiniou, A Machine Learning Approach to Automatic Production of Compiler Heuristics, Proceedings of the International Conference on Artificial Intelligence: Methodology, Systems, Applications, pp.41-50, 2002.
DOI : 10.1007/3-540-46148-5_5

M. Stephenson, M. Martin, and U. O-'reilly, Meta optimization: Improving compiler heuristics with machine learning, Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), pp.77-90, 2003.

M. Stephenson and S. Amarasinghe, Predicting Unroll Factors Using Supervised Classification, International Symposium on Code Generation and Optimization, 2005.
DOI : 10.1109/CGO.2005.29

F. Agakov, E. Bonilla, J. Cavazos, B. Franke, G. Fursin et al., Using Machine Learning to Focus Iterative Optimization, International Symposium on Code Generation and Optimization (CGO'06), 2006.
DOI : 10.1109/CGO.2006.37

G. Fursin, C. Miranda, O. Temam, M. Namolaru, E. Yom-tov et al., Milepost gcc: machine learning based research compiler, Proceedings of the GCC Developers' Summit, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00294704

C. Dubach, T. M. Jones, E. V. Bonilla, G. Fursin, and M. F. O-'boyle, Portable compiler optimization across embedded programs and microarchitectures using machine learning, Proceedings of the 42nd International Symposium on Microarchitecture (MICRO), 2009.

G. Tournavitis, Z. Wang, B. Franke, and M. F. O-'boyle, Towards a holistic approach to auto-parallelization: Integrating profile-driven parallelism detection and machine-learning based mapping, Proceedings of the Conference on Programming Language Design and Implementation (PLDI), 2009.

M. Voss and R. Eigenmann, ADAPT: Automated De-coupled Adaptive Program Transformation, Proceedings 2000 International Conference on Parallel Processing, 2000.
DOI : 10.1109/ICPP.2000.876107

J. Lu, H. Chen, P. C. Yew, and W. C. Hsu, Design and implementation of a lightweight dynamic optimization system, In: Journal of Instruction-Level Parallelism, vol.6, 2004.

C. Lattner and V. Adve, LLVM: A compilation framework for lifelong program analysis & transformation, International Symposium on Code Generation and Optimization, 2004. CGO 2004., 2004.
DOI : 10.1109/CGO.2004.1281665

G. Fursin, A. Cohen, M. O-'boyle, and O. Temam, A Practical Method for Quickly Evaluating Program Optimizations, Proceedings of the 1st International Conference on High Performance Embedded Architectures & Compilers (HiPEAC). Number 3793 in LNCS, pp.29-46, 2005.
DOI : 10.1007/11587514_4
URL : https://hal.archives-ouvertes.fr/inria-00001054

M. W. Stephenson, Automating the Construction of Compiler Heuristics Using Machine Learning, 2006.

J. Lau, M. Arnold, M. Hind, and B. Calder, Online performance auditing: Using hot optimizations without getting burned, Proceedings of the ACM SIGPLAN Conference on Programming Languaged Design and Implementation (PLDI), 2006.

L. Luo, Y. Chen, C. Wu, S. Long, and G. Fursin, Finding representative sets of optimizations for adaptive multiversioning applications, 3rd Workshop on Statistical and Machine Learning Approaches Applied to Architectures and Compilation (SMART'09), 2009.
URL : https://hal.archives-ouvertes.fr/inria-00436034

G. Fursin and O. Temam, Collective optimization, Proceedings of the International Conference on High Performance Embedded Architectures & Compilers, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00445326

G. Fursin, Collective tuning initiative: automating and accelerating development and optimization of computing systems, Proceedings of the GCC Developers' Summit, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00436029

R. P. Wilson, R. S. French, C. S. Wilson, S. P. Amarasinghe, J. A. Anderson et al., SUIF, ACM SIGPLAN Notices, vol.29, issue.12, pp.12-31, 1994.
DOI : 10.1145/193209.193217

M. Cornero, R. Costa, R. F. Pascual, A. C. Ornstein, and E. Rohou, An Experimental Environment Validating the Suitability of CLI as an Effective Deployment Format for Embedded Systems, Proceedings of the International Conference on High Performance Embedded Architectures & Compilers (HiPEAC), 2008.
DOI : 10.1007/978-3-540-77560-7_10

V. Jimenez, I. Gelado, L. Vilanova, M. Gil, G. Fursin et al., Predictive Runtime Code Scheduling for Heterogeneous Architectures, Proceedings of the International Conference on High Performance Embedded Architectures & Compilers, 2009.
DOI : 10.1007/978-3-540-92990-1_4
URL : https://hal.archives-ouvertes.fr/inria-00445304

S. Long, G. Fursin, and B. Franke, A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques, Proceedings of the IFIP International Conference on Network and Parallel Computing Number 4672 in LNCS, pp.506-515, 2007.
DOI : 10.1007/978-3-540-74784-0_51

B. Starynkevitch, Multi-stage construction of a global static analyser, In: GCC Developers' Summit, 2007.

T. Glek and D. Mandelin, Using gcc instead of grep and sed, Proceedings of the GCC Developers' Summit, 2008.

S. Callanan, D. D. Zadok, and E. , Extending gcc with modular gimple optimizations, In: GCC Developers' Summit, 2007.

G. Whitney, An extended BNF for specifying the syntax of declarations, Proceedings of the May 14-16, 1969, spring joint computer conference on XX, AFIPS '69 (Spring), pp.801-812, 1969.
DOI : 10.1145/1476793.1476929

G. Fursin, Iterative Compilation and Performance Prediction for Numerical Applications, 2004.