A. Madabhushi, Digital pathology image analysis: opportunities and challenges, 2009.

M. N. Gurcan, L. E. Boucheron, A. Can, A. Madabhushi, N. Rajpoot et al., Histopathological image analysis: A review, Biomedical Engineering, vol.2, pp.147-171, 2009.

O. Sertel, G. Lozanski, A. , and M. Gurcan, Computer-aided detection of centroblasts for follicular lymphoma grading using adaptive likelihood-based cell segmentation, IEEE transactions on bio-medical engineering, vol.57, pp.2613-2619, 2010.

M. A. Makary and M. Daniel, Medical error-the third leading cause of death in the us, BMJ, vol.353, 2016.

, GLOBALCAN 2012: Estimated Cancer Incidence, Mortality and Prevalence Worldwide in 2012, 2012.

C. Genestie, Private Communication, 2011.

J. Hinsinger, Les colorations histologiques : colorations de routine et colorations spéciales, Tech. Rep, 2015.

E. Rakha, J. Reis-filho, F. Baehner, D. Dabbs, T. Decker et al., Breast cancer prognostic classification in the molecular era: the role of histological grade, Breast cancer research, 2010.

, Mitos-atypia-14, International Conference on Pattern Recognition, 2014.

Y. Liu, K. Gadepalli, M. Norouzi, G. E. Dahl, T. Kohlberger et al., Detecting cancer metastases on gigapixel pathology images, CoRR, 2017.

M. Kulikova, A. Veillard, L. Roux, and D. Racoceanu, Nuclei extraction from histopathological images using a marked point process approach, Proc SPIE, vol.8314, p.75, 2012.

X. Yang, H. Li, and X. Zhou, Nuclei segmentation using marker-controlled watershed, tracking using mean-shift, and kalman filter in time-lapse microscopy, IEEE Transactions on, vol.53, pp.2405-2414, 2006.

J. Dalle, H. Li, C. Huang, W. K. Leow, D. Racoceanu et al., Nuclear pleomorphism scoring by selective cell nuclei detection, 2009.

K. Mosaliganti, L. Cooper, R. Sharp, R. Machiraju, G. Leone et al., Reconstruction of cellular biological structures from optical microscopy data, IEEE transactions on visualization and computer graphics, vol.14, pp.863-76, 2008.

C. Avenel, P. Fortin, and D. Béréziat, Parallel birth and death process for cell nuclei extraction in histopathology images, 2013 42nd International Conference on Parallel Processing, pp.429-438, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00844001

S. Descamps, X. Descombes, A. Béchet, and J. Zerubia, Détection de flamants roses par processus ponctuels marqués pour l'estimation de la taille des populations, 2007.

D. Racoceanu and F. Capron, Towards semantic-driven high-content image analysis: An operational instantiation for mitosis detection in digital histopathology, Computerized Medical Imaging and Graphics, vol.42, pp.2-15, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01139965

A. Veillard, M. S. Kulikova, and D. Racoceanu, Cell nuclei extraction from breast cancer histopathology images using colour, texture, scale and shape information, Diagnostic Pathology, vol.8, issue.1, p.5, 2013.

S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, Optimization by simulated annealing, Science, vol.220, issue.4598, pp.671-680, 1983.

K. Ghedira, Optimisation combinatoire par métaheuristiques, 2007.

F. W. Crawford and M. A. Suchard, Transition probabilities for general birth-death processes with applications in ecology, genetics, and evolution, Journal of mathematical biology, vol.65, pp.553-80, 2011.

D. Li, Construction de la mesure de Lebesgue, 2008.

J. Coeurjolly, Introduction aux processus ponctuels de Gibbs : modélisation, identification et validation, Journées MAS

J. Neveu and . Bordeaux--sud-ouest, , 2010.

C. Avenel and M. Kulikova, Marked point processes with simple and complex shape objects for cell nuclei extraction from breast cancer H&E images, SPIE Medical Image, 2012.

F. J. Aherne, N. A. Thacker, and P. I. Rockett, The Bhattacharyya metric as an absolute similarity measure for frequency coded data, Kybernetika, vol.34, issue.4, pp.363-368, 1998.

D. Salas, J. Gustedt, D. Racoceanu, and I. Perseil, Resource-centered distributed processing of large histopathology images, 2016 IEEE Intl Conference on Computational Science and Engineering (CSE), pp.367-370, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01325648

B. J. Palmer and J. Nieplocha, Efficient algorithms for ghost cell updates on two classes of mpp architectures, IASTED PDCS, 2002.

S. Plimpton, Fast parallel algorithms for short-range molecular dynamics, Journal of Computational Physics, vol.117, issue.1, pp.1-19, 1995.

F. B. Kjolstad and M. Snir, Ghost cell pattern, Proceedings of the 2010 Workshop on Parallel Programming Patterns, ser. ParaPLoP '10, vol.4, 2010.

/. Doi,

J. Gustedt, S. Vialle, and P. Mercier, Resource Centered Computing delivering high parallel performance, Heterogeneity in Computing Workshop (HCW 2014), ser. Heterogeneity in Computing Workshop (HCW 2014), workshop of 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00921128

L. G. Valiant, A bridging model for parallel computation, Commun. ACM, vol.33, issue.8, pp.103-111, 1990.

J. Gustedt, , 2019.

P. Lavallee and P. Wautelet, Programmation hybride mpi-openmp, 2015.

M. J. Flynn, Some computer organizations and their effectiveness, IEEE Trans. Comput, vol.21, issue.9, pp.948-960, 1972.

P. Clauss and J. Gustedt, Iterative Computations with Ordered Read-Write Locks, Journal of Parallel and Distributed Computing, vol.70, issue.5, pp.496-504, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00330024

M. Saied, J. Gustedt, and G. Muller, Automatic code generation for iterative multidimensional stencil computations, 2016 IEEE 23rd International Conference on 7. CONCLUSION ET PERSPECTIVES
URL : https://hal.archives-ouvertes.fr/hal-01337093

, High Performance Computing (HiPC), vol.00, pp.280-289, 2017.

. Available,

J. Gustedt, E. Jeannot, and F. Mansouri, Automatic, Abstracted and Portable Topology-Aware Thread Placement, 2017 IEEE International Conference on, Hawaï, United States, pp.389-399, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01621936

H. Franke, R. Russell, and M. Kirkwood, Fuss , futexes and furwocks : Fast userlevel locking in linux, 2002.

W. , W. Tsang, and G. Marsaglia, The Ziggurat method for generating random variables, Journal of Statistical Software, Articles, vol.5, issue.8, pp.1-7, 2000.

A. Goode and M. Satyanarayanan, A vendor-neutral library and viewer for wholeslide images, computer science department, carnegie mellon university, Computer Science Department, 2008.

B. Claudel, G. Huard, and O. Richard, TakTuk, Adaptive Deployment of Remote Executions, Proceedings of the International Symposium on High Performance Distributed Computing (HPDC), pp.91-100, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00788923

V. T. Dao, High performance computing and stochastic simulation : Study of numerical reproducibility on multicore and manycore architectures, 2017.
URL : https://hal.archives-ouvertes.fr/tel-01610378

W. Gropp, Issues in accurate and reliable use of parallel computing in numerical programs, pp.253-263, 2005.

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