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ORCIDEduardo Camilo Inacio
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- affiliation: Universidade Federal de Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brasil
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2020 – today
- 2020
[c13]Laércio Pioli, Eduardo C. Inacio, Douglas D. J. de Macedo, Victor Ströele
, José Maria N. David, Jean-François Méhaut, Mario A. R. Dantas:
Characterization Research on I/O Improvements Targeting DISC and HPC Applications. IECON 2020: 2095-2100
2010 – 2019
- 2018
- [j4]Eduardo C. Inacio, Mario A. R. Dantas:
A coarse-grained page cache aware multivariate analytical model for the storage performance of a parallel file system. Concurr. Comput. Pract. Exp. 30(8) (2018) - [j3]Francieli Zanon Boito, Eduardo C. Inacio, Jean Luca Bez, Philippe O. A. Navaux, Mario A. R. Dantas, Yves Denneulin:
A Checkpoint of Research on Parallel I/O for High-Performance Computing. ACM Comput. Surv. 51(2): 23:1-23:35 (2018) - [j2]Jorji Nonaka, Eduardo C. Inacio, Kenji Ono, Mario A. R. Dantas, Yasuhiro Kawashima, Tomohiro Kawanabe, Fumiyoshi Shoji:
Data I/O management approach for the post-hoc visualization of big simulation data results. Int. J. Model. Simul. Sci. Comput. 9(3): 1840006:1-1840006:16 (2018) - [c12]Jorji Nonaka, Motohiko Matsuda, Takashi Shimizu, Naohisa Sakamoto, Masahiro Fujita, Keiji Onishi, Eduardo C. Inacio, Shun Ito, Fumiyoshi Shoji, Kenji Ono:
A Study on Open Source Software for Large-Scale Data Visualization on SPARC64fx based HPC Systems. HPC Asia 2018: 278-288 - [c11]Eduardo C. Inacio, Jorji Nonaka, Kenji Ono, Mario A. R. Dantas, Fumiyoshi Shoji:
Characterizing I/O and Storage Activity on the K Computer for Post-Processing Purposes. ISCC 2018: 730-735 - [c10]Eduardo C. Inacio, Mario A. R. Dantas:
IORE: A Flexible and Distributed I/O Performance Evaluation Tool for Hyperscale Storage Systems. ISCC 2018: 1026-1031 - [c9]Eduardo Camilo Inacio, Mário Antônio Ribeiro Dantas:
An I/O Performance Evaluation Tool for Distributed Data-Intensive Scientific Applications. LADaS@VLDB 2018: 9-16 - 2017
- [c8]Débora Cabral Nazário, Pedro J. Campos, Eduardo C. Inacio, Mario A. R. Dantas:
Quality of Context Evaluating Approach in AAL Environment Using IoT Technology. CBMS 2017: 558-563 - [c7]Pedro Henrique Penna, Eduardo C. Inacio, Márcio Castro, Patricia Della Méa Plentz, Henrique C. Freitas, François Broquedis, Jean-François Méhaut:
Assessing the Performance of the SRR Loop Scheduler with Irregular Workloads. ICCS 2017: 255-264 - [c6]Eduardo Camilo Inacio, Pedro Alberto Barbetta, Mario A. R. Dantas:
A Statistical Analysis of the Performance Variability of Read/Write Operations on Parallel File Systems. ICCS 2017: 2393-2397 - [c5]Ivan Luiz Salvadori, Bruno C. N. Oliveira, Alexis Huf, Eduardo C. Inacio, Frank Siqueira:
An ontology alignment framework for data-driven microservices. iiWAS 2017: 425-433 - 2016
- [c4]Eduardo Camilo Inacio, Frank Siqueira, Mario A. R. Dantas:
Dédalo: A middleware with a single point of access for heterogeneous distributed computing environments. ISCC 2016: 964-969 - 2015
- [c3]Eduardo Camilo Inacio, Mario A. R. Dantas, Douglas D. J. de Macedo:
Towards a performance characterization of a parallel file system over virtualized environments. ISCC 2015: 595-600 - [c2]Eduardo Camilo Inacio, Mario A. R. Dantas, Francieli Zanon Boito, Philippe Olivier Alexandre Navaux, Douglas Dyllon Jeronimo de Macedo:
Performance impact of operating systems' caching parameters on parallel file systems. SAC 2015: 2066-2068 - [c1]Eduardo Camilo Inacio, Laércio Lima Pilla, Mário Antônio Ribeiro Dantas:
Understanding the Effect of Multiple Factors on a Parallel File System's Performance. WETICE 2015: 90-92 - 2014
- [j1]Eduardo Camilo Inacio, Mario A. R. Dantas:
A survey into performance and energy efficiency in HPC, cloud and big data environments. Int. J. Netw. Virtual Organisations 14(4): 299-318 (2014)
Coauthor Index
aka: Mário Antônio Ribeiro Dantas
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