F. Z. Boito, E. C. Inacio, J. L. Bez, P. Navaux, D. Mar et al., A Checkpoint of Research on Parallel I/O for High-Performance Computing, ACM Computing Surveys, vol.51, issue.2, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01591755

R. Brightwell, A New MPI Implementation for Cray SHMEM, Recent Advances in Parallel Virtual Machine and Message Passing Interface: 11th European PVM/MPI Users' Group Meeting, pp.122-130, 2004.

R. Brightwell, Collective I/O Performance on the Santos Dumont Supercomputer, Recent Advances in Parallel Virtual Machine and Message Passing Interface: 12th European PVM/MPI Users' Group Meeting, p.26, 2005.

, Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), pp.45-52

P. Carns, K. Harms, W. Allcock, C. Bacon, S. Lang et al., Understanding and Improving Computational Science Storage Access Through Continuous Characterization, Trans. Storage, vol.7, issue.3, pp.1-8, 2011.

P. Carns, S. Lang, R. Ross, M. Vilayannur, J. Kunkel et al., Small-file access in parallel file systems, 2009 IEEE International Symposium on Parallel Distributed Processing, pp.1-11, 2009.

C. Crouch and A. , ATOS supports Brazil in the race to High-Performance Computing with the installation of a Bull supercomputer in Petropolis (RJ), 2015.

. /pr-2015_09_07_01,

M. Dorier, G. Antoniu, R. Ross, D. Kimpe, and S. Ibrahim, CALCioM: Mitigating I/O interference in HPC systems through cross-application coordination, Parallel and Distributed Processing Symposium, pp.155-164, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00916091

M. Dreher and B. Raffin, A Flexible Framework for Asynchronous in Situ and in Transit Analytics for Scientific Simulations, 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp.277-286, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00941413

O. J. Dunn, Multiple comparisons among means, Journal of the American Statistical Association, vol.56, issue.293, pp.52-64, 1961.

N. Feltovich, Nonparametric Tests of Differences in Medians: Comparison of the Wilcoxon-Mann-Whitney and Robust Rank-Order Tests, Experimental Economics, vol.6, issue.3, pp.273-297, 2003.

Y. Kim, R. Gunasekaran, G. M. Shipman, D. A. Dillow, Z. Zhang et al., Workload Characterization of a Leadership Class Storage Cluster, 2010 5th Petascale Data Storage Workshop (PDSW '10), pp.1-5, 2010.

M. Lawrence, W. Huber, H. Pags, P. Aboyoun, M. Carlson et al., Software for computing and annotating genomic ranges, PLOS Computational Biology, vol.9, issue.8, 2013.

H. Luu, M. Winslett, W. Gropp, R. Ross, P. Carns et al., A multiplatform study of I/O behavior on petascale supercomputers, Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, pp.33-44, 2015.

. Mctic-lncc, Supercomputador Santos Dumont opera com 51 projetos científicos e tecnológicos, 2016.

, Nas Parallel Benchmarks (NPB, 1994.

H. Neau, P. Fede, J. Laviéville, and O. Simonin, High Performance Computing (HPC) for the Fluidization of ParticleLaden Reactive Flows, 14th International Conference on Fluidization -From Fundamentals to Products, 2013.

N. Nieuwejaar, D. Kotz, A. Purakayastha, C. S. Ellis, and M. L. Best, File-access characteristics of parallel scientific workloads, IEEE Transactions on Parallel and Distributed Systems, vol.7, issue.10, pp.1075-1089, 1996.

C. Osthoff, R. P. Souto, F. Vilasbas, P. Grunmann, P. Dias et al., Improving atmospheric model performance on a multi-core cluster system, Atmospheric Model Applications, 2012.

S. Pronk, S. Pll, R. Schulz, P. Larsson, P. Bjelkmar et al., Gromacs 4.5: a high-throughput and highly parallel open source molecular simulation toolkit, Bioinformatics, vol.29, issue.7, pp.845-854, 2013.

F. Schmuck and R. Haskin, GPFS: A Shared-Disk File System for Large Computing Clusters, Proceedings of the 1st USENIX Conference on File and Storage Technologies, FAST '02, 2002.

, High-performance storage architecture and scalable cluster file system, Sun Microsystems, 2007.

H. The and . Group, Hierarchical Data Format, v5. van der Spoel D and Hess B (2011) Gromacsthe road ahead, Wiley Interdisciplinary Reviews: Computational Molecular Science, vol.1, issue.5, pp.710-715, 1997.

B. Vinter, J. M. Bjrndalen, A. Oj, and T. Larsen, A Comparison of Three MPI Implementations, Proceedings of Communicating Process Architectures, pp.127-136, 2004.

F. Wang, Q. Xin, B. Hong, S. A. Brandt, E. Miller et al., File system workload analysis for large scale scientific computing applications, 2004.

B. Xie, J. Chase, D. Dillow, O. Drokin, S. Klasky et al., Characterizing output bottlenecks in a supercomputer, SC'12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, pp.1-11, 2012.

Q. Zoll, Y. Zhu, and D. Feng, A study of self-similarity in parallel I/O workloads, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp.1-6, 2010.

, Author Biographies

, Master in Computing (2015) by the Federal University of Rio Grande do Sul (UFRGS) in the same area. He received the 1st place in the Brazilian Contest of Master's Dissertations in Computer Architecture and HighPerformance Computing (WSCAD CTD 2017). Bachelor of Science in Computer Science from the Universidade Regional do Alto Uruguai e das Misses (URI) Erechim, having received the URI 2015 Best Student Award and the SBC Highlight Student Award, 2017.

, leading the HPC Support team, and supervising the Information Technology Support Service and Computational Infrastructure since 2012. He is an assistant instructor of the System Administrator training courses for the Networks School (ESR) of the Brazilian National Research and Educational Network (RNP). From 2005 to 2009 worked as Systems Administrator and technical support for the Weather Forecast and Atmospheric Research Group at LNCC. Research interests in high performance computing, distributed computing, numerical weather forecast models, Andr Ramos Carneiro has Technical License in Information and Communication Technology (ISTCC-P, 2006) and is Technologist at the National Laboratory for Scientific Computing (LNCC)

J. Pablo, He currently is a Master's Degree student in Computer Science from the Federal University of Rio Grande do Sul (UFRGS), Brazil, in the Parallel and Distributed Processing area. His experiences are in the field of Computer Science

S. Valria, Girelli is an undergraduate student in Computer Science at Federal University of Rio Grande do Sul (UFRGS), Brazil. She is currently an undergraduate researcher at the Parallel and Distributed Processing Group (GPPD) at the Informatics Institute, UFRGS, with experience in I/O in High-Performance Computing systems and Computer Architecture and Organization

, She received her Ph.D. in Computer Science in 2015 by the Federal University of Rio Grande do Sul, in Brazil, and the University of Grenoble Alpes, in France. Her research interests include performance and energy efficiency of storage systems for high-performance computing

, Bruno Alves Fagundes is a network security specialist at UNESA (2011) and a technologist at the Laboratrio Nacional de Computao Cientfica since 2013, working in the support and administration of the computational platform of LNCC and Supercomputer SDumont. His current research includes Input and Output Data in Supercomputing Environments

, LNCC-Brazil), she is LNCC High Performance Computing Center (CENAPAD/LNCC) coordinator and head from CENAPAD HPC research group. She received his D.Sc. degree in, She has been involved in research projects in bioinformatics, Oil and Gas and Atmospheric Simulations research areas. Her main research areas are in high performance Computing, Cluster Computing, Hybrid Parallel Computing, High Performance Scientific Computing Applications, Parallel Programming Models

, Pedro Leite da Silva Dias Bachelor degree in Applied Mathematics (Univ. of So Paulo/USP in 1974), MSc and Ph.D.in