M. Faessel, SMIL: Simple (but efficient) Morphological Image Library, 2011.

M. Bilodeau, FREIA: FRamework for Embedded Image Applications. French ANR-funded project with ARMINES (CMM, CRI), THALES (TRT) and Télécom Bretagne, 2008.

F. Coelho and F. Irigoin, API compilation for image hardware accelerators, ACM Transactions on Architecture and Code Optimization, vol.9, issue.4, 2013.
DOI : 10.1145/2400682.2400708
URL : https://hal.archives-ouvertes.fr/hal-00829650

H. Sutter, Welcome to the Jungle url: http : //herbsutter.com/welcome-to-the-jungle, 2011.

K. Group, OpenCL: The open standard for parallel programming of heterogeneous systems. url: https : / / www.khronos.org

M. The and . Forum, The Message Passing Interface. url: http://www.mpi-forum.org

M. Faessel and M. Bilodeau, SMIL: Simple Morphological Image Library In: Séminaire Performance et Généricité, LRDE

C. Clienti, Fulguro image processing library. Source Forge, 2008.

C. Clienti, S. Beucher, and M. Bilodeau, A System On Chip Dedicated To Pipeline Neighborhood Processing For Mathematical Morphology, European Signal Processing Conference, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00830910

P. Bonnot, Definition and SIMD Implementation of a Multi-Processing Architecture Approach on FPGA, Design Automation and Test in Europe. IEEE, 2008.

B. Dupont-de-dinechin, R. Sirdey, and T. Goubier, Extended Cyclostatic Dataflow Program Compilation and Execution for an Integrated Manycore Processor, Procedia Computer Science 18, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00832504

T. Goubier, ?C: A Programming Model and Language for Embedded Manycores Extended Cyclostatic Dataflow Program Compilation and Execution for an Integrated Manycore Processor, In: ICCS. Ed. by Vassil N. Alexandrov et al. Procedia Computer Science, vol.18, pp.2011-2029, 2013.

F. Irigoin, P. Jouvelot, and R. Triolet, Semantical interprocedural parallelization: an overview of the PIPS project " . en, Proceedings of ICS 1991, pp.244-251, 1991.
URL : https://hal.archives-ouvertes.fr/hal-00984684

P. Guillou, F. Coelho, and F. Irigoin, Automatic Streamization of Image Processing Applications, Languages and Compilers for Parallel Computing, 2014.
DOI : 10.1007/978-3-319-17473-0_15
URL : https://hal.archives-ouvertes.fr/hal-01096735

L. Peuch and . Redbaron, une approche bottom-up au refactoring en Python [23] inspect ? Inspect live objects. url: https, 2014.

S. Guelton, Pythran: enabling static optimization of scientific Python programs, Computational Science & Discovery, vol.8, issue.1, 2015.
DOI : 10.1088/1749-4680/8/1/014001

A. Siu-kwan-lam, S. Pitrou, and . Seibert, Numba: A LLVM-based Python JIT Compiler, Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC. LLVM '15, 2015.

A. Rubinsteyn, Parakeet: A Just-In-Time Parallel Accelerator for Python, p.2012

J. Bergstra, Theano: a CPU and GPU Math Expression Compiler, Python for Scientific Computing Conference (SciPy), 2010.

M. Abadi, TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems, 2016.

J. Ragan-kelley, Halide: A Language and Compiler for Optimizing Parallelism, Locality, and Recomputation in Image Processing Pipelines, pp.2013-2025, 2013.

R. Teja-mullapudi, V. Vasista, and U. Bondhugula, PolyMage: Automatic Optimization for Image Processing Pipelines " . en, pp.429-443, 2015.