MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning, ACM TACO, vol.14, p.28, 2017. ,
, A Survey on Compiler Autotuning using Machine Learning. Comput. Surveys, 2018.
COBAYN: Compiler Autotuning Framework Using Bayesian Networks, ACM TACO, vol.13, 2016. ,
Automatic Tuning of Compilers Using Machine Learning, 2018. ,
Self-Aware Thermal Management for High Performance Computing Processors, IEEE Design & Test, 2017. ,
Use of experimental design to optimize docking performance: The case of ligendock, the docking module of ligen, a new de novo design program, Journal of Chemical Information and Modeling, vol.53, pp.1503-1517, 2013. ,
LiGen: a High Performance workflow for chemistry driven de novo design, Journal of Chemical Information and Modeling, vol.53, pp.1518-1527, 2013. ,
Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools, Proc. of DATE, pp.1038-1043, 2017. ,
Performance-driven instrumentation and mapping strategies using the LARA aspect-oriented programming approach, Software: Practice and Experience, vol.46, pp.251-287, 2016. ,
Benefits in Relaxing the Power Capping Constraint, Proceedings of ANDARE Workshop, 2017. ,
Prediction horizon vs. efficiency of optimal dynamic thermal control policies in HPC nodes, 2017 IFIP/IEEE International Conference on Very Large Scale Integration, 2017. ,
libVersioningCompiler: An easy-to-use library for dynamic generation and invocation of multiple code versions, SoftwareX, vol.7, pp.95-100, 2018. ,
The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems, Proc. of the ACM International Conference on Computing Frontiers, CF'16, pp.288-293, 2016. ,
DOI : 10.1145/2903150.2903470
URL : https://hal.archives-ouvertes.fr/hal-01341826
AutoTuning and Adaptivity appRoach for Energy efficient eXascale HPC systems: the ANTAREX Approach, Proc. of DATE, pp.1518-1527, 2016. ,
DOI : 10.3850/9783981537079_1012
URL : https://hal.archives-ouvertes.fr/hal-01235741
ANTAREX: A DSL-based Approach to Adaptively Optimizing and Enforcing Extra-functional Properties in High Performance Computing, Euromicro Conference on Digital System Design-DSD, 2018. ,
DOI : 10.1109/dsd.2018.00105
URL : https://hal.archives-ouvertes.fr/hal-01890152
SOCRATES-A Seamless Online Compiler and System Runtime AutoTuning Framework for Energy-Aware Applications, Proc. of DATE, pp.1149-1152, 2018. ,
DOI : 10.23919/date.2018.8342183
Expressing and Applying C++ Code Transformations for the HDF5 API Through a DSL, IFIP International Conference on Computer Information Systems and Industrial Management, pp.303-314, 2017. ,
DOI : 10.1007/978-3-319-59105-6_26
URL : https://hal.archives-ouvertes.fr/hal-01656228
Performance evaluation of probabilistic time-dependent travel time computation, IFIP International Conference on Computer Information Systems and Industrial Management, pp.377-388, 2016. ,
DOI : 10.1007/978-3-319-45378-1_34
URL : https://hal.archives-ouvertes.fr/hal-01637471
DSL and Autotuning Tools for Code Optimization on HPC Inspired by Navigation Use Case, SC16: International Conference for High Performance Computing, Networking, Storage and Analysis, 2016. ,
The vision of autonomic computing, Computer, vol.36, pp.41-50, 2003. ,
A Graph-Based Iterative Compiler Pass Selection and Phase Ordering Approach, pp.21-30, 2016. ,
DOI : 10.1145/2980930.2907959
Compile-Time Function Memoization, 26th International Conference on Compiler Construction, 2017. ,
DOI : 10.1145/3033019.3033024
URL : https://hal.archives-ouvertes.fr/hal-01423811
Intercepting Functions for Memoization: A Case Study Using Transcendental Functions, ACM TACO, vol.12, p.23, 2015. ,
DOI : 10.1145/2751559
URL : https://hal.archives-ouvertes.fr/hal-01178085