J. C. Bennett, H. Abbasi, P. Bremer, R. Grout, A. Gyulassy et al., Combining in-situ and in-transit processing to enable extreme-scale scientific analysis, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, pp.491-540, 2012.
DOI : 10.1109/SC.2012.31

M. Dreher and B. Raffin, A Flexible Framework for Asynchronous in Situ and in Transit Analytics for Scientific Simulations, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2014.
DOI : 10.1109/CCGrid.2014.92

URL : https://hal.archives-ouvertes.fr/hal-00941413

M. Dorier, G. Antoniu, F. Cappello, M. Snir, and L. Orf, Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O, 2012 IEEE International Conference on Cluster Computing, 2012.
DOI : 10.1109/CLUSTER.2012.26

URL : https://hal.archives-ouvertes.fr/hal-00715252

F. Zheng, H. Zou, G. Eisnhauer, K. Schwan, M. Wolf et al., FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, 2013.
DOI : 10.1109/IPDPS.2013.46

E. Cieren, L. Colombet, S. Pitoiset, and R. Namyst, ExaStamp: A Parallel Framework for Molecular Dynamics on Heterogeneous Clusters, European Conference on Parallel Processing, pp.121-132, 2014.
DOI : 10.1007/978-3-319-14313-2_11

B. Lorendeau, Y. Fournier, and A. Ribes, In-Situ visualization in fluid mechanics using Catalyst: A case study for Code Saturne, 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), 2013.
DOI : 10.1109/LDAV.2013.6675158

N. Fabian, K. Moreland, D. Thompson, A. Bauer, P. Marion et al., The ParaView Coprocessing Library: A scalable, general purpose in situ visualization library, 2011 IEEE Symposium on Large Data Analysis and Visualization, pp.89-96, 2011.
DOI : 10.1109/LDAV.2011.6092322

B. Whitlock, J. M. Favre, and J. S. Meredith, Parallel In Situ Coupling of Simulation with a Fully Featured Visualization System, 11th Eurographics conference on Parallel Graphics and Visualization, pp.101-109, 2011.

U. Ayachit, B. Whitlock, M. Wolf, B. Loring, B. Geveci et al., The SENSEI Generic In Situ Interface, 2016 Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV), pp.40-44, 2016.
DOI : 10.1109/ISAV.2016.013

J. F. Lofstead, S. Klasky, K. Schwan, N. Podhorszki, and C. Jin, Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS), Proceedings of the 6th international workshop on Challenges of large applications in distributed environments, CLADE '08, pp.15-24, 2008.
DOI : 10.1145/1383529.1383533

F. Zheng, H. Yu, C. Hantas, M. Wolf, G. Eisenhauer et al., GoldRush, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '13, pp.781-7812, 2013.
DOI : 10.1145/2503210.2503279

T. Harris, M. Maas, and V. J. Marathe, Callisto, Proceedings of the Ninth European Conference on Computer Systems, EuroSys '14, pp.241-2414, 2014.
DOI : 10.1145/2592798.2592807

M. Li, S. S. Vazhkudai, A. R. Butt, F. Meng, X. Ma et al., Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-12, 2010.
DOI : 10.1109/SC.2010.28

URL : http://www.csm.ornl.gov/%7Evazhkuda/FP.pdf

A. Singh, P. Balaji, and W. Feng, GePSeA: A General-Purpose Software Acceleration Framework for Lightweight Task Offloading, 2009 International Conference on Parallel Processing, pp.261-268, 2009.
DOI : 10.1109/ICPP.2009.39

URL : https://vtechworks.lib.vt.edu/bitstream/10919/34264/1/ajeet-etd.pdf

X. Ma, J. Lee, and M. Winslett, High-Level Buffering for Hiding Periodic Output Cost in Scientific Simulations Parallel and Distributed Systems, IEEE Transactions on, vol.17, issue.3, pp.193-204, 2006.

C. Augonnet, S. Thibault, R. Namyst, and P. Wacrenier, StarPU: a unified platform for task scheduling on heterogeneous multicore architectures, Concurrency and Computation: Practice and Experience, vol.23, issue.4, pp.187-198, 2011.
DOI : 10.1002/cpe.1631

URL : https://hal.archives-ouvertes.fr/inria-00550877

R. Hoque, T. Herault, G. Bosilca, and J. Dongarra, Dynamic task discovery in PaRSEC, Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems , ScalA '17, pp.1-6, 2017.
DOI : 10.1145/2628071.2628084

M. Bauer, S. Treichler, E. Slaughter, and A. Aiken, Legion: Expressing locality and independence with logical regions, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, 2012.
DOI : 10.1109/SC.2012.71

URL : http://theory.stanford.edu/%7Eaiken/publications/papers/sc12.pdf

H. Kaiser, T. Heller, B. Adelstein-lelbach, A. Serio, and D. Fey, HPX, Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, PGAS '14, 2014.
DOI : 10.1145/362759.362813

P. Péba¨péba¨y, J. C. Bennett, D. Hollman, S. Treichler, P. S. Mccormick et al., Towards asynchronous many-task in situ data analysis using legion, 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.1033-1037, 2016.

A. Heirich, E. Slaughter, M. Papadakis, W. Lee, T. Biedert et al., In situ visualization with task-based parallelism, Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization , ISAV'17, 2017.
DOI : 10.1145/3022671.2984016

Y. Cho, S. Oh, and B. Egger, Adaptive Space-Shared Scheduling for Shared-Memory Parallel Programs, pp.158-177, 2017.
DOI : 10.1145/1807128.1807132

R. D. Blumofe and C. E. Leiserson, Scheduling multithreaded computations by work stealing, Journal of the ACM, vol.46, issue.5, pp.720-748, 1999.
DOI : 10.1145/324133.324234

URL : http://csdl.computer.org/comp/proceedings/sfcs/1994/6580/00/0365680.pdf

M. Dorier, R. Sisneros, T. Peterka, G. Antoniu, and D. Semeraro, Damaris/Viz: A nonintrusive, adaptable and user-friendly in situ visualization framework, 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), 2013.
DOI : 10.1109/LDAV.2013.6675160

URL : https://hal.archives-ouvertes.fr/hal-00859603