, Taming parallel I/O complexity with auto-tuning, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '13, 2013.
DOI : 10.1145/2503210.2503278
, Petascale computing: Impact on future NASA missions. Petascale Computing: Architectures and Algorithms, pp.29-46, 2007.
, A Benchmark Simulation for Moist Nonhydrostatic Numerical Models, Monthly Weather Review, vol.130, issue.12, 2002.
DOI : 10.1175/1520-0493(2002)130<2917:ABSFMN>2.0.CO;2
, ENZO: AN ADAPTIVE MESH REFINEMENT CODE FOR ASTROPHYSICS, The Astrophysical Journal Supplement Series, vol.211, issue.2, 2013.
DOI : 10.1088/0067-0049/211/2/19
, 24/7 Characterization of petascale I/O workloads, 2009 IEEE International Conference on Cluster Computing and Workshops, pp.1-10, 2009.
DOI : 10.1109/CLUSTR.2009.5289150
, Performance Characteristics of a Cosmology Package on Leading HPC Architectures, HiPC, pp.176-188, 2005.
DOI : 10.1007/978-3-540-30474-6_23
, Chombo infrastructure for adaptive mesh refinement. https://seesar.lbl.gov, 2005.
, A higher order estimate of the optimum checkpoint interval for restart dumps, Future Generation Computer Systems, vol.22, issue.3, 2004.
DOI : 10.1016/j.future.2004.11.016
, Toward a new metric for ranking high performance computing systems, Sandia Report, pp.2013-4744, 2013.
, CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination, 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014.
DOI : 10.1109/IPDPS.2014.27
URL : https://hal.archives-ouvertes.fr/hal-00916091
, Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, pp.623-634, 2014.
DOI : 10.1109/SC.2014.56
URL : https://hal.archives-ouvertes.fr/hal-01025670
, Petascale parallelization of the gyrokinetic toroidal code, 2012.
, Scheduling the I/O of HPC Applications Under Congestion, 2015 IEEE International Parallel and Distributed Processing Symposium, pp.1013-1022, 2015.
DOI : 10.1109/IPDPS.2015.116
URL : https://hal.archives-ouvertes.fr/hal-01251938
, Information theory and reliable communication, 1968.
DOI : 10.1007/978-3-7091-2945-6
, The Universe at extreme scale: Multi-petaflop sky simulation on the BG/Q, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, p.4, 2012.
DOI : 10.1109/SC.2012.106
, Cyclic scheduling on parallel processors: an overview. Citeseer, 1993.
, Making the case for data staging coordination and control for parallel applications, Workshop on Exascale MPI at Supercomputing Conference, 2015.
, Leveraging burst buffer coordination to prevent I/O interference, 2016 IEEE 12th International Conference on e-Science (e-Science), 2016.
DOI : 10.1109/eScience.2016.7870922
, Characterization and modeling of PIDX parallel I/O for performance optimization, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '13, 2013.
DOI : 10.1145/2503210.2503252
, On the role of burst buffers in leadership-class storage systems, 012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST), 2012.
DOI : 10.1109/MSST.2012.6232369
, Managing Variability in the IO Performance of Petascale Storage Systems, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2010.
DOI : 10.1109/SC.2010.32
, Insights for exascale IO APIs from building a petascale IO API, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '13, p.87, 2013.
DOI : 10.1145/2503210.2503238
URL : http://www.osti.gov/scitech/servlets/purl/1078966
, Petascale atmospheric general circulation models, Journal of Physics: Conference Series, p.12078, 2007.
DOI : 10.1088/1742-6596/78/1/012078
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.590.1032
, Direct numerical simulations of turbulent lean premixed combustion, Journal of Physics: conference series, p.38, 2006.
DOI : 10.1088/1742-6596/46/1/004
, Virtual I/O scheduler, Proceedings of the 3rd international conference on Virtual execution environments , VEE '07, pp.105-115, 2007.
DOI : 10.1145/1254810.1254826
, Using IOR to analyze the I/O performance for HPC platforms, 2007.
, Understanding the causes of performance variability in HPC workloads, IEEE International. 2005 Proceedings of the IEEE Workload Characterization Symposium, 2005., pp.137-149, 2005.
DOI : 10.1109/IISWC.2005.1526010
, Topologyaware data aggregation for intensive i/o on large-scale supercomputers, Proceedings of the First Workshop on Optimization of Communication in HPC, pp.73-81, 2016.
DOI : 10.1109/comhpc.2016.013
URL : https://hal.archives-ouvertes.fr/hal-01394741
, Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services, 2012 IEEE 26th International Parallel and Distributed Processing Symposium, pp.330-341, 2012.
DOI : 10.1109/IPDPS.2012.39
, I/oaware batch scheduling for petascale computing systems, 2015 IEEE International Conference on Cluster Computing, pp.254-263, 2015.
DOI : 10.1109/cluster.2015.45
, Inovallée 655 avenue de l'Europe Montbonnot 38334 Saint Ismier Cedex Publisher Inria Domaine de Voluceau -Rocquencourt BP 105 -78153 Le Chesnay Cedex inria, pp.249-6399