A. L. Facility, Aurora supercomputer, 2016.

J. Dongarra, The International Exascale Software Project roadmap, International Journal of High Performance Computing Applications, vol.25, issue.1, p.3, 2011.
DOI : 10.1177/1094342010391989

W. Xu, Hybrid hierarchy storage system in MilkyWay-2 supercomputer, Frontiers of Computer Science, vol.48, issue.3, pp.367-377, 2014.
DOI : 10.1007/s11704-014-3499-6

V. Vishwanath, Accelerating I/O forwarding in IBM blue gene/p systems, Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, ser. SC '10, pp.1-10, 2010.

K. Ohta, Optimization Techniques at the I/O Forwarding Layer, 2010 IEEE International Conference on Cluster Computing, pp.312-321, 2010.
DOI : 10.1109/CLUSTER.2010.36

A. Bhatele and K. Mohror, There goes the neighborhood, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '13, pp.411-4112, 2013.
DOI : 10.1145/2503210.2503247

A. Shah, Capturing inter-application interference on clusters, 2013 IEEE International Conference on Cluster Computing (CLUSTER), 2013.
DOI : 10.1109/CLUSTER.2013.6702665

C. Kuo, How file access patterns influence interference among cluster applications, 2014 IEEE International Conference on Cluster Computing (CLUSTER), pp.185-193, 2014.
DOI : 10.1109/CLUSTER.2014.6968743

O. Yildiz, On the Root Causes of Cross-Application I/O Interference in HPC Storage Systems, 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016.
DOI : 10.1109/IPDPS.2016.50

URL : https://hal.archives-ouvertes.fr/hal-01270630

X. Zhang, IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2010.
DOI : 10.1109/SC.2010.30

H. Song, Server-side I/O coordination for parallel file systems, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '11, 2011.
DOI : 10.1145/2063384.2063407

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.7941

J. Liu, Hierarchical I/O scheduling for collective I/O, Proceedings of the 2013 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, ser. CCGRID '13. IEEE, pp.211-218, 2013.

M. Dorier, CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination, 2014 IEEE 28th International Parallel and Distributed Processing Symposium, pp.155-164, 2014.
DOI : 10.1109/IPDPS.2014.27

URL : https://hal.archives-ouvertes.fr/hal-00916091

D. Dai, Two-Choice Randomized Dynamic I/O Scheduler for Object Storage Systems Storage and Analysis, ser. SC '14, Proceedings of the International Conference for High Performance Computing, Networking, pp.635-646, 2014.
DOI : 10.1109/sc.2014.57

F. Z. Boito, R. V. Kassick, P. O. Navaux, and Y. Denneulin, Automatic I/O scheduling algorithm selection for parallel file systems Concurrency and Computation: Practice and Experience, 2015.
DOI : 10.1002/cpe.3606

V. Vishwanath, Topology-aware data movement and staging for I/O acceleration on Blue Gene/P supercomputing systems, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '11, pp.1-11, 2011.
DOI : 10.1145/2063384.2063409

F. Isaila, Design and Evaluation of Multiple-Level Data Staging for Blue Gene Systems, IEEE Transactions on Parallel and Distributed Systems, vol.22, issue.6, pp.946-959, 2011.
DOI : 10.1109/TPDS.2010.127

A. Lebre, I/O Scheduling Service for Multi-Application Clusters, 2006 IEEE International Conference on Cluster Computing, pp.1-10, 2006.
DOI : 10.1109/CLUSTR.2006.311854

URL : https://hal.archives-ouvertes.fr/hal-00486929

Y. Qian, A??Novel network request scheduler for a??large scale storage system, Computer Science - Research and Development, vol.7, issue.10, pp.3-4, 2009.
DOI : 10.1007/s00450-009-0073-9

Y. Chen, LACIO: A New Collective I/O Strategy for Parallel I/O Systems, 2011 IEEE International Parallel & Distributed Processing Symposium, pp.794-804, 2011.
DOI : 10.1109/IPDPS.2011.79

Z. Wang, Iteration Based Collective I/O Strategy for Parallel I/O Systems, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.287-294, 2014.
DOI : 10.1109/CCGrid.2014.61

N. Ali, Scalable I/O forwarding framework for high-performance computing systems, 2009 IEEE International Conference on Cluster Computing and Workshops, pp.1-10, 2009.
DOI : 10.1109/CLUSTR.2009.5289188

K. Iskra, ZOID, Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming , PPoPP '08, pp.153-162, 2008.
DOI : 10.1145/1345206.1345230

P. Carns, BMI: A Network Abstraction Layer for Parallel I/O, 19th IEEE International Parallel and Distributed Processing Symposium, p.8, 2005.
DOI : 10.1109/IPDPS.2005.128

P. H. Carns, PVFS: A parallel file system for linux clusters, Proceedings of the 4th Annual Linux Showcase and Conference. USENIX Association, pp.317-327, 2000.

I. and S. Microsystems, LUSTRE file system -high-performance storage architecture and scalable cluster file system Available: http://science.energy.gov, Tech. Rep, 2007.

R. Bolze, Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed, International Journal of High Performance Computing Applications, vol.20, issue.4, pp.481-494, 2006.
DOI : 10.1177/1094342006070078

URL : https://hal.archives-ouvertes.fr/hal-00684943

O. Yildiz, IFER: MicroBenchmark for Studying the Cross- Application I/O Interference, " https://team.inria.fr/kerdata/ ifer-microbenchmark-for-studying-the-cross-application-io-interference, 2016.