Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Eduardo C. Inacio"'
Autor:
Eduardo C. Inacio, Mario A. R. Dantas
Publikováno v:
Anais do XXIII Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD 2022).
To meet ever increasing capacity and performance requirements of emerging data-intensive applications, parallel file systems (PFSs) have been employed in large-scale computing environments. In such complex storage systems, the load distribution on PF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24715b1d79664b61c27b5d33765bd030
https://doi.org/10.5753/wscad.2022.226350
https://doi.org/10.5753/wscad.2022.226350
Autor:
Jean-François Méhaut, Douglas Dyllon Jeronimo de Macedo, Victor Ströele, Eduardo C. Inacio, Laércio Pioli, José Maria N. David, Mario A. R. Dantas
Publikováno v:
IECON
Improvements in I/O architectures are becoming increasingly required nowadays. This is an essential point to complex and data intensive scalable applications. Data-Intensive Scalable Computing (DISC) and High-Performance Computing (HPC) applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab5512ab5e82ccef8a7298f727f1b85
https://doi.org/10.1109/iecon43393.2020.9255087
https://doi.org/10.1109/iecon43393.2020.9255087
Autor:
Philippe O. A. Navaux, Eduardo C. Inacio, Mario A. R. Dantas, Jean Luca Bez, Yves Denneulin, Francieli Zanon Boito
Publikováno v:
ACM Computing Surveys
ACM Computing Surveys, Association for Computing Machinery, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
ACM Computing Surveys, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
ACM Computing Surveys, Association for Computing Machinery, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
ACM Computing Surveys, 2018, 51 (2), pp.23:1-23:35. ⟨10.1145/3152891⟩
We present a comprehensive survey on parallel I/O in the high-performance computing (HPC) context. This is an important field for HPC because of the historic gap between processing power and storage latency, which causes application performance to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac3894ec0d8d16d07306ef95340cdf4c
https://doi.org/10.1145/3152891
https://doi.org/10.1145/3152891
Publikováno v:
ICCS
This paper reports a statistical analysis about the performance variability of read and write operations on parallel file systems. To properly account for the inherent system variability and to obtain statistically significant results, formal experim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cb09db588f3f9cf776dd9c653da12f3
https://doi.org/10.1016/j.procs.2017.05.026
https://doi.org/10.1016/j.procs.2017.05.026
Publikováno v:
Anais Estendidos do Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD).
To meet ever increasing capacity and performance requirements of emerging data-intensive applications, highly distributed and multilayered back-end storage systems have been employed in large-scale high performance computing (HPC) environments. A mai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfb461deb8dd892abb80f9a9628fb619
https://doi.org/10.5753/wscad_estendido.2019.8709
https://doi.org/10.5753/wscad_estendido.2019.8709
Publikováno v:
ISCC
An increasing volume of data is produced by computational science applications executing on flagship-class supercomputers, such as the K computer. Most of these huge datasets would later pass through post-processing for visualization and analysis in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b907de1518b15ef31c7034fca06489c
https://doi.org/10.1109/iscc.2018.8538488
https://doi.org/10.1109/iscc.2018.8538488
Autor:
Eduardo C. Inacio, Mario A. R. Dantas
Publikováno v:
ISCC
The process of input/output (I/O) performance evaluation, when considering the emerging data-intensive applications, over modern multilayered parallel I/O software stacks and hyperscale storage systems, has proved to be a complex effort. Although the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c740fb9fb053a85fb25cededc0bfbfd5
https://doi.org/10.1109/iscc.2018.8538689
https://doi.org/10.1109/iscc.2018.8538689
Autor:
Fumiyoshi Shoji, Keiji Onishi, Naohisa Sakamoto, Motohiko Matsuda, Eduardo C. Inacio, Kenji Ono, Jorji Nonaka, Shun Ito, Takashi Shimizu, Masahiro Fujita
Publikováno v:
HPC Asia
In this paper, we present a study on the available open-source software (OSS) for large-scale data visualization on the SPARC64fx based HPC systems, such as the K computer and also the Fujitsu PRIMEHPC FX family of supercomputers (FX10 and FX100), wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bb57c8a1aafdd977980a7143d0cc05b
https://doi.org/10.1145/3149457.3155323
https://doi.org/10.1145/3149457.3155323
Publikováno v:
iiWAS
The integration of heterogeneous data sources can be done by using data-driven microservices along with Semantic Web technologies. However, it becomes a challenge in cross-domain scenarios, in which data is described by heterogeneous ontologies. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c69545d7d1428408a449470cb526ba
https://doi.org/10.1145/3151759.3151793
https://doi.org/10.1145/3151759.3151793
Publikováno v:
Anais do XVIII Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD 2017).
As computational science simulations produce ever increasing volumes of data, executing part or even the entire visualization pipeline in the supercomputer side becomes more a requirement than an option. Given the uniqueness of the high performance K
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5702786a69a8d3274b361f2ce2f50ef
https://doi.org/10.5753/wscad.2017.246
https://doi.org/10.5753/wscad.2017.246