M. Baboulin, A. Buttari, J. Dongarra, J. Kurzak, J. Langou et al., Accelerating scientific computations with mixed precision algorithms, Computer Physics Communications, vol.180, issue.12, pp.2526-2533, 2009.
DOI : 10.1016/j.cpc.2008.11.005
URL : http://arxiv.org/pdf/0808.2794

G. Deest, T. Yuki, O. Sentieys, and S. Derrien, Toward scalable source level accuracy analysis for floating-point to fixed-point conversion, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp.726-733, 2014.
DOI : 10.1109/ICCAD.2014.7001432
URL : https://hal.archives-ouvertes.fr/hal-01095207

A. Floc-'h, T. Yuki, A. El-moussawi, A. Morvan, K. Martin et al., GeCoS: A framework for prototyping custom hardware design flows, International Working Conference on Source Code Analysis and Manipulation (SCAM), pp.100-105, 2013.

D. Göddeke, R. Strzodka, and S. Turek, Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations, International Journal of Parallel, Emergent and Distributed Systems, vol.2, issue.4, pp.221-256, 2007.
DOI : 10.1007/978-3-642-58393-3

X. Hao and A. Varshney, Variable-precision rendering, Proceedings of the 2001 symposium on Interactive 3D graphics , SI3D '01, pp.149-158, 2001.
DOI : 10.1145/364338.364384
URL : http://www.cs.umd.edu/projects/gvil/papers/hao_av_i3d01.pdf

O. Michael, . Lam, K. Jeffrey, and . Hollingsworth, Fine-grained floating-point precision analysis, The International Journal of High Performance Computing Applications, pp.1-15, 2016.

O. Michael, J. K. Lam, . Hollingsworth, R. Bronis, M. P. De-supinski et al., Automatically adapting programs for mixed-precision floating-point computation, Proceedings of the 27th International ACM Conference on International Conference on Supercomputing, ICS '13, pp.369-378, 2013.

D. Michael, M. Linderman, . Ho, L. David, . Dill et al., Towards program optimization through automated analysis of numerical precision, International Symposium on Code Generation and Optimization, 2010.

C. Luk, R. Cohn, R. Muth, H. Patil, A. Klauser et al., Pin: Building customized program analysis tools with dynamic instrumentation, Conference on Programming Language Design and Implementation, PLDI '05, pp.190-200, 2005.

D. Menard, R. Rocher, and O. Sentieys, Analytical fixed-point accuracy evaluation in linear time-invariant systems. Transactions on Circuits and Systems I: Regular Papers, pp.553197-3208, 2008.
DOI : 10.1109/tcsi.2008.923279
URL : https://hal.archives-ouvertes.fr/inria-00459231

D. Menard and O. Sentieys, Automatic evaluation of the accuracy of fixed-point algorithms, Proceedings 2002 Design, Automation and Test in Europe Conference and Exhibition, p.529, 2002.
DOI : 10.1109/DATE.2002.998351
URL : https://hal.archives-ouvertes.fr/inria-00482931

K. Nagaraj-parashar, D. Menard, and O. Sentieys, Accelerated Performance Evaluation of Fixed-Point Systems With Un-Smooth Operations. Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp.599-612, 2014.

C. Rubio-gonzález, C. Nguyen, B. Mehne, K. Sen, J. Demmel et al., Floating-point precision tuning using blame analysis, Proceedings of the 38th International Conference on Software Engineering, ICSE '16, pp.1074-1085, 2016.
DOI : 10.1109/ICSE.2015.70

?. Antarex, adaptivity approach for energy efficient exascale hpc systems, 2015 IEEE 18th International Conference on Computational Science and Engineering, pp.343-346, 2015.

C. Silvano, G. Agosta, A. Bartolini, R. Andrea, L. Beccari et al., AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems: The ANTAREX Approach, Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp.708-713, 2016.
DOI : 10.3850/9783981537079_1012
URL : https://hal.archives-ouvertes.fr/hal-01235741

C. Silvano, G. Agosta, S. Cherubin, D. Gadioli, G. Palermo et al., Cmar, and Erven Rohou. The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems, International Conference on Computing Frontiers, CF '16, pp.288-293, 2016.

N. Simon, D. Menard, O. Sentieys, and . Id, Fix-infrastructure for the design of fixed-point systems, University Booth of the Conference on Design, Automation and Test in Europe (DATE), 2011.

S. Venkataramani, K. Vinay, . Chippa, T. Srimat, K. Chakradhar et al., Quality programmable vector processors for approximate computing, Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO-46, pp.1-12, 2013.
DOI : 10.1145/2540708.2540710

R. Venkatesan, A. Agarwal, K. Roy, and A. Raghunathan, MACACO: Modeling and analysis of circuits for approximate computing, 2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp.667-673, 2011.
DOI : 10.1109/ICCAD.2011.6105401

T. Yeh, P. Faloutsos, M. Ercegovac, S. Patel, and G. Reinman, The Art of Deception: Adaptive Precision Reduction for Area Efficient Physics Acceleration, 40th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2007), pp.394-406, 2007.
DOI : 10.1109/MICRO.2007.9

T. Yuki, Understanding PolyBench/C 3.2 kernels, International workshop on Polyhedral Compilation Techniques (IMPACT), 2014.