S. Al-kiswany, A. Gharaibeh, and M. Ripeanu, GPUs as Storage System Accelerators, IEEE Transactions on Parallel and Distributed Systems, vol.24, issue.8, pp.1556-1566, 2013.
DOI : 10.1109/TPDS.2012.239
URL : http://arxiv.org/abs/1202.3669

R. Balasubramonian, Near-Data Processing: Insights from a MICRO-46 Workshop, IEEE Micro, vol.34, issue.4, pp.36-42, 2014.
DOI : 10.1109/MM.2014.55

B. Behzad, Taming parallel I/O complexity with auto-tuning, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '13, pp.1-12, 2013.
DOI : 10.1145/2503210.2503278

J. Bent, Jitter-free co-processing on a prototype exascale storage stack, 012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST)
DOI : 10.1109/MSST.2012.6232382
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.361.3745

J. Bent, Storage challenges at Los Alamos National Lab, 012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST)
DOI : 10.1109/MSST.2012.6232376

T. Bicer, J. Yin, and G. Agrawal, Improving I/O Throughput of Scientific Applications Using Transparent Parallel Compression, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.1-10, 2014.
DOI : 10.1109/CCGrid.2014.112

S. Byna, Parallel I/O, analysis, and visualization of a trillion particle simulation, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, 2012.
DOI : 10.1109/SC.2012.92

P. Carns, Understanding and improving computational science storage access through continuous characterization, MSST '11 Proceedings of the 2011 IEEE 27th Symposium on Mass Storage Systems and Technologies. IEEE, pp.1-14, 2011.
DOI : 10.1109/msst.2011.5937212
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1030.8062

P. Carns, Understanding and Improving Computational Science Storage Access through Continuous Characterization, In: ACM Transactions on Storage, vol.73, pp.1-26, 2011.
DOI : 10.1109/msst.2011.5937212
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1030.8062

C. Lustre, A Scalable, High-Performance File System, Whitepaper. Cluster File Systems , Inc, 2002.

C. Raghunath-raja, Power-check: An energy-efficient checkpointing framework for HPC clusters, Proceedings -IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, pp.261-270, 2015.

Y. Chen, Improving Parallel I/O Performance with Data Layout Awareness, 2010 IEEE International Conference on Cluster Computing, pp.302-311, 2010.
DOI : 10.1109/CLUSTER.2010.35
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.3060

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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.1893

Z. Chen, J. Xiong, and D. Meng, Replication-Based Highly Available Metadata Management for Cluster File Systems, 2010 IEEE International Conference on Cluster Computing, 2010.
DOI : 10.1109/CLUSTER.2010.34
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.9186

P. Corbett, Overview of the MPI-IO Parallel I/O Interface
DOI : 10.1007/978-1-4613-1401-1_5

. Browne, The Kluwer International Series in Engineering and Computer Science, pp.127-146, 1996.

C. Lauro-beltrão, Supporting storage configuration for I/O intensive workflows, ICS '14 Proceedings of the 28th ACM international conference on Supercomputing, pp.191-200, 2014.

D. Dai, Two-Choice Randomized Dynamic I/O Scheduler for Object Storage Systems, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, pp.635-646, 2014.
DOI : 10.1109/SC.2014.57

W. Ding, Compiler-directed file layout optimization for hierarchical storage systems, SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, pp.1-41, 2012.
DOI : 10.1109/sc.2012.35
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.362.7814

D. /. Nnsa, Preliminary Conceptual Design for an Exascale Computing Initiative, Tech. rep. U.S. Department of Energy and National Nuclear Security Administration, 2014.

B. Dong, A dynamic and adaptive load balancing strategy for parallel file system with large-scale I/O servers, Journal of Parallel and Distributed Computing, vol.72, issue.10, 2012.
DOI : 10.1016/j.jpdc.2012.05.006

M. Dorier, G. Antoniu, and R. Ross, 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

M. Dorier, Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O, 2012 IEEE International Conference on Cluster Computing, pp.155-163, 2012.
DOI : 10.1109/CLUSTER.2012.26
URL : https://hal.archives-ouvertes.fr/hal-00715252

M. Dorier, 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
DOI : 10.1109/SC.2014.56
URL : https://hal.archives-ouvertes.fr/hal-01025670

M. Eshel, Panache: A Parallel File System Cache for Global File Access, FAST '10 Proceedings of the 8th USENIX conference on File and storage technologies. USENIX Association, pp.1-14, 2010.

R. Filgueira, Applying Selectively Parallel I/O Compression to Parallel Storage Systems, Lecture Notes in Computer Science, vol.8632, pp.282-293, 2014.
DOI : 10.1007/978-3-319-09873-9_24

W. Frings, Massively parallel loading, Proceedings of the 27th international ACM conference on International conference on supercomputing, ICS '13, pp.389-398, 2013.
DOI : 10.1145/2464996.2465020
URL : http://juser.fz-juelich.de/record/141708/files/FZJ-2014-00075.pdf

R. Ge, X. Feng, and X. Sun, SERA-IO: Integrating Energy Consciousness into Parallel I/O Middleware, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp.204-211, 2012.
DOI : 10.1109/CCGrid.2012.39

R. Gerstenberger, M. Besta, and T. Hoefler, Enabling highly-scalable remote memory access programming with MPI-3 one sided, Proceedings of the 22nd International Symposium on High-performance Parallel and Distributed Computing, pp.1-12, 2013.
DOI : 10.1145/2503210.2503286
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.5393

S. Ghemawat, H. Gobioff, and S. T. Leung, The Google file system, In: ACM SIGOPS Operating Systems Review, vol.375, p.43, 2003.
DOI : 10.1145/945445.945450

J. He, . Xian-he, R. Sun, and . Thakur, KNOWAC: I/O Prefetch via Accumulated Knowledge, 2012 IEEE International Conference on Cluster Computing, pp.2012-429, 2012.
DOI : 10.1109/CLUSTER.2012.83
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.296

J. He, I/O acceleration with pattern detection, Proceedings of the 22nd international symposium on High-performance parallel and distributed computing, HPDC '13, pp.25-36, 2013.
DOI : 10.1145/2493123.2462909
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.9032

S. He, A cost-aware region-level data placement scheme for hybrid parallel I/O systems, 2013 IEEE International Conference on Cluster Computing (CLUSTER), pp.1-8, 2013.
DOI : 10.1109/CLUSTER.2013.6702615

R. Henschel, Demonstrating Lustre over a 100Gbps wide area network of 3,500km, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-6, 2012.
DOI : 10.1109/SC.2012.43

Y. Hua, Y. Zhu, and H. Jiang, Supporting Scalable and Adaptive Metadata Management in Ultralarge-Scale File Systems, IEEE Transactions on Parallel and Distributed Systems, vol.22, issue.4, pp.580-593, 2011.
DOI : 10.1109/TPDS.2010.116
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.381.7855&rep=rep1&type=pdf

T. Ilsche, Enabling event tracing at leadership-class scale through I/O forwarding middleware, Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing, HPDC '12, pp.49-60, 2012.
DOI : 10.1145/2287076.2287085

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

T. Islam, McrEngine: A scalable checkpointing system using data-aware aggregation and compression, SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, pp.1-11, 2012.
DOI : 10.1155/2013/341672
URL : http://doi.org/10.1155/2013/341672

J. Jenkins, Byte-precision level of detail processing for variable precision analytics, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, 2012.
DOI : 10.1109/SC.2012.26

M. Jung, Triple-A, Proceedings of the 19th international conference on Architectural support for programming languages and operating systems, ASPLOS '14, pp.441-454, 2014.
DOI : 10.1145/2541940.2541953

M. Kandemir, Computation mapping for multi-level storage cache hierarchies, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, HPDC '10, pp.179-190, 2010.
DOI : 10.1145/1851476.1851498

M. Kandemir, On Urgency of I/O Operations, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), 2012.
DOI : 10.1109/CCGrid.2012.40

P. Michael and . Kasick, Black-box problem diagnosis in parallel file systems, FAST '10 Proceedings of the 8th USENIX conference on File and storage technologies. USENIX Association, pp.1-14, 2010.

J. Kim, Parameter-aware I/O management for solid state disks (SSDs), IEEE Transactions on Computers, vol.615, pp.636-649, 2012.

P. Kogge, Exascale Computing Study: Technology Challenges in achieving Exascale Systems, Tech. rep. Defense Advanced Research Projects Agency (DARPA IPTO), 2008.

S. Kumar, 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, pp.1-12, 2013.
DOI : 10.1145/2503210.2503252

S. Kumar, Efficient data restructuring and aggregation for I/O acceleration in PIDX, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-11, 2012.
DOI : 10.1109/SC.2012.54

S. Kumar, PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets, 2011 IEEE International Conference on Cluster Computing, 2011.
DOI : 10.1109/CLUSTER.2011.19
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.678.1596

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

J. Lafon, S. Misra, and J. Bringhurst, On distributed file tree walk of parallel file systems, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, 2012.
DOI : 10.1109/SC.2012.82

S. Lakshminarasimhan, Scalable in situ scientific data encoding for analytical query processing, Proceedings of the 22nd international symposium on High-performance parallel and distributed computing, HPDC '13, pp.1-12, 2013.
DOI : 10.1145/2493123.2465527

R. Latham, A Next-Generation Parallel File System for Linux Clusters, In: LinuxWorld Magazine, vol.2, issue.1, pp.1-11, 2004.

J. Li, Parallel netCDF, Proceedings of the 2003 ACM/IEEE conference on Supercomputing, SC '03, pp.39-50, 2003.
DOI : 10.1145/1048935.1050189

W. Liao, Design and Evaluation of MPI File Domain Partitioning Methods under Extent-Based File Locking Protocol, IEEE Transactions on Parallel and Distributed Systems, vol.22, issue.2, pp.260-272, 2011.
DOI : 10.1109/TPDS.2010.74

H. Lin, Coordinating Computation and I/O in Massively Parallel Sequence Search, IEEE Transactions on Parallel and Distributed Systems, vol.22, issue.4, pp.529-543, 2011.
DOI : 10.1109/TPDS.2010.101
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1997

N. Liu, On the role of burst buffers in leadership-class storage systems, 012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST), pp.1-11, 2012.
DOI : 10.1109/MSST.2012.6232369

Y. Liu, Automatic Identification of Application I/O Signatures from Noisy Server-Side Traces, 14 Proceedings of the 12th USENIX conference on File and Storage Technologies. USENIX Association, pp.213-228, 2014.

Y. Liu, On the design and implementation of a simulator for parallel file system research, 2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST), 2013.
DOI : 10.1109/MSST.2013.6558438

J. Lofstead and R. Ross, 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, pp.1-12, 2013.
DOI : 10.1145/2503210.2503238

J. Lofstead, Managing Variability in the IO Performance of Petascale Storage Systems, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-12, 2010.
DOI : 10.1109/SC.2010.32

J. Lofstead, Six degrees of scientific data, Proceedings of the 20th international symposium on High performance distributed computing, HPDC '11, pp.49-60, 2011.
DOI : 10.1145/1996130.1996139

J. Logan, Understanding I/O Performance Using I/O Skeletal Applications, Lecture Notes in Computer Science, vol.7484, pp.77-88, 2012.
DOI : 10.1007/978-3-642-32820-6_10

Y. Lu, Revealing applications' access pattern in collective I/O for cache management, Proceedings of the 28th ACM international conference on Supercomputing, ICS '14, pp.181-190, 2014.
DOI : 10.1145/2597652.2597686

Y. Lu, Accelerating Distributed Updates with Asynchronous Ordered Writes in a Parallel File System, 2012 IEEE International Conference on Cluster Computing, pp.302-310, 2012.
DOI : 10.1109/CLUSTER.2012.38

J. Mair, Quantifying the Energy Efficiency Challenges of Achieving Exascale Computing, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2015.
DOI : 10.1109/CCGrid.2015.130

A. Manzanares, The Power and Challenges of Transformative I/O, 2012 IEEE International Conference on Cluster Computing, pp.144-154, 2012.
DOI : 10.1109/CLUSTER.2012.86

R. Mclay, A User-Friendly Approach for Tuning Parallel File Operations, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, pp.229-236, 2014.
DOI : 10.1109/SC.2014.24

D. Meister, A study on data deduplication in HPC storage systems, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, 2012.
DOI : 10.1109/SC.2012.14

D. Nagle, D. Serenyi, and A. Matthews, The Panasas ActiveScale Storage Cluster: Delivering Scalable High Bandwidth Storage, Proceedings of the ACM/IEEE Conference on Supercomputing, pp.53-62, 2004.

T. Natvig, A. C. Elster, and J. C. Meyer, Automatic Run-time Parallelization and Transformation of I/O, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-10, 2010.
DOI : 10.1109/SC.2010.11

A. Nisar, W. Liao, and A. Choudhary, Delegation-Based I/O Mechanism for High Performance Computing Systems, IEEE Transactions on Parallel and Distributed Systems, vol.23, issue.2, pp.271-279, 2012.
DOI : 10.1109/TPDS.2011.166
URL : http://www.ece.northwestern.edu/~choudhar/Publications/DelegationBasedIOMechanismHighPerformanceComputingSystems.pdf

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

R. Oldfield, Evaluation of methods to integrate analysis into a large-scale shock shock physics code, Proceedings of the 28th ACM international conference on Supercomputing, ICS '14, pp.83-92, 2014.
DOI : 10.1145/2597652.2597668

S. Oral, Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, pp.217-228, 2014.
DOI : 10.1109/SC.2014.23

S. Oral, Efficient object storage journaling in a distributed parallel file system, FAST '10 Proceedings of the 8th USENIX conference on File and storage technologies. USENIX Association, pp.1-12, 2010.

A. Orgerie, M. Dias-de-assuncao, and L. Lefevre, A survey on techniques for improving the energy efficiency of large-scale distributed systems, ACM Computing Surveys, vol.46, issue.4, pp.1-35, 2013.
DOI : 10.1109/SURV.2011.062410.00034
URL : https://hal.archives-ouvertes.fr/hal-00767582

J. Ou, EDM: An Endurance-Aware Data Migration Scheme for Load Balancing in SSD Storage Clusters, 2014 IEEE 28th International Parallel and Distributed Processing Symposium, pp.787-796
DOI : 10.1109/IPDPS.2014.86

S. Patil and G. R. Ganger, Scale and Concurrency of GIGA+: File system directories with Millions of files, FAST '11 Proceedings of the 9th USENIX conference on File and Storage Technologies. USENIX Association, pp.1-14, 2011.

C. M. Patrick, Cashing in on hints for better prefetching and caching in PVFS and MPI-IO, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, HPDC '10, pp.191-202, 2010.
DOI : 10.1145/1851476.1851499

A. David, J. L. Patterson, and . Hennessy, Computer organization and design: the hardware/software interface, 2013.

J. Piernas-canovas and J. Nieplocha, Implementation and evaluation of active storage in modern parallel file systems, Parallel Computing, vol.36, issue.1, 2010.
DOI : 10.1016/j.parco.2009.11.002

R. Prabhakar, Adaptive multi-level cache allocation in distributed storage architectures, Proceedings of the 24th ACM International Conference on Supercomputing, ICS '10, pp.211-221, 2010.
DOI : 10.1145/1810085.1810115

Y. Qian, Dynamic I/O congestion control in scalable lustre file system, 2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST), pp.1-5
DOI : 10.1109/MSST.2013.6558432

R. Rajachandrasekar, A 1 PB/s file system to checkpoint three million MPI tasks, Proceedings of the 22nd international symposium on High-performance parallel and distributed computing, HPDC '13, pp.143-154, 2013.
DOI : 10.1145/2493123.2462908

K. Ren, IndexFS: Scaling File System Metadata Performance with Stateless Caching and Bulk Insertion, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, pp.237-248, 2014.
DOI : 10.1109/SC.2014.25
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.5461

E. Schendel, ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization, Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing, HPDC '12, pp.61-72, 2012.
DOI : 10.1145/2287076.2287086

F. Schmuck and R. Haskin, GPFS: A Shared-Disk File System for Large Computing Clusters, FAST '02 Proceedings of the First USENIX Conference on File and Storage Technologies. USENIX Association, pp.231-244, 2002.

S. Seelam, Masking I/O latency using application level I/O caching and prefetching on Blue Gene systems, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 2010.
DOI : 10.1109/IPDPS.2010.5470438

C. Sigovan, A Visual Network Analysis Method for Large-Scale Parallel I/O Systems, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, pp.308-319, 2013.
DOI : 10.1109/IPDPS.2013.96

S. Seung-woo, Enabling Active Storage on Parallel I/O Software Stacks, Proceedings of the 26th Symposium on Mass Storage Systems and Technologies. MSST '10. IEEE, 2010.

H. Song, A cost-intelligent application-specific data layout scheme for parallel file systems, Proceedings of the 20th international symposium on High performance distributed computing, HPDC '11, pp.37-48, 2011.
DOI : 10.1145/1996130.1996138

H. Song, A Segment-Level Adaptive Data Layout Scheme for Improved Load Balance in Parallel File Systems, 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.414-423, 2011.
DOI : 10.1109/CCGrid.2011.26

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

P. Suei, M. Yeh, and T. Kuo, Endurance-Aware Flash-Cache Management for Storage Servers, IEEE Transactions on Computers, vol.63, issue.10, pp.2416-2430, 2014.
DOI : 10.1109/TC.2013.119

H. Tang, Improving Read Performance with Online Access Pattern Analysis and Prefetching, Lecture Notes in Computer Science, vol.8632, pp.246-257, 2014.
DOI : 10.1007/978-3-319-09873-9_21

W. Tantisiriroj, On the duality of data-intensive file system design, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '11, 2011.
DOI : 10.1145/2063384.2063474

R. Thakur, W. Gropp, and E. Lusk, Data sieving and collective I/O in ROMIO, Proceedings. Frontiers '99. Seventh Symposium on the Frontiers of Massively Parallel Computation, pp.182-189, 1999.
DOI : 10.1109/FMPC.1999.750599
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.2994

H. The and . Group, HDF5 -Hierarchical Data Format, version 5, 1997.

T. Viet-trung, Efficient support for MPI-I/O atomicity based on versioning, CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.514-523, 2011.

A. Uselton, Parallel I/O performance: From events to ensembles, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), pp.1-11, 2010.
DOI : 10.1109/IPDPS.2010.5470424

V. Vishwanath, Accelerating I/O Forwarding in IBM Blue Gene/P Systems, SC '10 Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2010.

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

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

B. Welch and G. Noer, Optimizing a hybrid SSD/HDD HPC storage system based on file size distributions, 2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST), 2013.
DOI : 10.1109/MSST.2013.6558449

B. Xie, Characterizing output bottlenecks in a supercomputer, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-8, 2012.
DOI : 10.1109/SC.2012.28
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.5686

J. Xiong, Metadata Distribution and Consistency Techniques for Large-Scale Cluster File Systems, IEEE Transactions on Parallel and Distributed Systems, vol.22, issue.5, pp.803-816, 2011.
DOI : 10.1109/TPDS.2010.154

W. Xu, Hybrid hierarchy storage system in MilkyWay-2 supercomputer, Frontiers of Computer Science, vol.48, issue.3, pp.367-377, 2014.
DOI : 10.1145/1048935.1050189

Y. Xu, vPFS: Bandwidth virtualization of parallel storage systems, 012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST), pp.1-12
DOI : 10.1109/MSST.2012.6232370

L. Yi, Design and Implementation of an Asymmetric Block-Based Parallel File System, IEEE Transactions on Computers, vol.63, issue.7, 2014.
DOI : 10.1109/TC.2013.6

Y. Yin, Boosting Application-Specific Parallel I/O Optimization Using IOSIG, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp.196-203, 2012.
DOI : 10.1109/CCGrid.2012.136
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.260.65

Y. Yin, Pattern-Direct and Layout-Aware Replication Scheme for Parallel I/O Systems, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, pp.345-356, 2013.
DOI : 10.1109/IPDPS.2013.114
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.5078

Y. Yu, A Transparent Collective I/O Implementation, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, pp.297-307, 2013.
DOI : 10.1109/IPDPS.2013.36

Y. Yu, Improving Parallel IO Performance of Cell-based AMR Cosmology Applications, 2012 IEEE 26th International Parallel and Distributed Processing Symposium, pp.933-944, 2012.
DOI : 10.1109/IPDPS.2012.88

X. Zhang, K. Davis, and S. Jiang, 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

X. Zhang, K. Davis, and S. Jiang, iTransformer: Using SSD to Improve Disk Scheduling for High-performance I/O, 2012 IEEE 26th International Parallel and Distributed Processing Symposium, pp.715-726, 2012.
DOI : 10.1109/IPDPS.2012.70
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.5348

X. Zhang, K. Davis, and S. Jiang, QoS support for end users of I/O-intensive applications using shared storage systems, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on, SC '11, 2011.
DOI : 10.1145/2063384.2063408

X. Zhang, iBridge: Improving Unaligned Parallel File Access with Solid-State Drives, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, pp.381-392, 2013.
DOI : 10.1109/IPDPS.2013.21
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.4306

Z. Zhang, Design and analysis of data management in scalable parallel scripting, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-85, 2012.
DOI : 10.1109/SC.2012.44

Z. Zhang, MTC envelope, Proceedings of the 22nd international symposium on High-performance parallel and distributed computing, HPDC '13, pp.37-48, 2013.
DOI : 10.1145/2493123.2462913

D. Zhao, K. Qiao, and I. Raicu, HyCache+: Towards Scalable High-Performance Caching Middleware for Parallel File Systems, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.267-276, 2014.
DOI : 10.1109/CCGrid.2014.11
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.636.8136

H. Zou, A Source-aware Interrupt Scheduling for Modern Parallel I/O Systems, 2012 IEEE 26th International Parallel and Distributed Processing Symposium, pp.156-166, 2012.
DOI : 10.1109/IPDPS.2012.24

Q. Zou, Y. Zhu, and D. Feng, A Study of Self-similarity in Parallel I/O Workloads, MSST '10 Proceedings of the IEEE 26th Symposium on Mass Storage Systems and Technologies. IEEE, 2010.