TY - JOUR
T1 - Scientific data analysis using data-intensive scalable computing
T2 - 2018 Latin America Data Science Workshop, LADaS 2018
AU - Valduriez, Patrick
AU - Mattoso, Marta
AU - Akbarinia, Reza
AU - Borges, Heraldo
AU - Camata, José
AU - Coutinho, Alvaro
AU - Gaspar, Daniel
AU - Lemus, Noel
AU - Liu, Ji
AU - Lustosa, Hermano
AU - Masseglia, Florent
AU - Silva, Fabricio Nogueira Da
AU - Silva, Vítor
AU - Souza, Renan
AU - Ocaña, Kary
AU - Ogasawara, Eduardo
AU - Oliveira, Daniel De
AU - Pacitti, Esther
AU - Porto, Fabio
AU - Shasha, Dennis
N1 - Funding Information:
This work was partially funded by CNPq, FAPERJ and Inria (SciDISC project), EU H2020 Programme and MCTI/RNP-Brazil (HPC4E grant no. 689772), and performed (for Inria) in the context of the Computational Biology Institute (www.ibc-montpellier.fr). The experiments in SciDISC are carried out using the Inria Grid'5000 testbed (www.grid5000.fr), NACAD/COPPE supercomputers and LNCC SINAPAD Santos Dumont supercomputer (sdumont.lncc.br).
Publisher Copyright:
© 2018 CEUR-WS. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Data-intensive science requires the integration of two fairly different paradigms: high-performance computing (HPC) and data-intensive scalable computing (DISC), as exemplified by frameworks such as Hadoop and Spark. In this context, the SciDISC project addresses the grand challenge of scientific data analysis using DISC, by developing architectures and methods to combine simulation and data analysis. SciDISC is an ongoing project between Inria, several research institutions in Rio de Janeiro and NYU. This paper introduces the motivations and objectives of the project, and reports on the first results achieved so far.
AB - Data-intensive science requires the integration of two fairly different paradigms: high-performance computing (HPC) and data-intensive scalable computing (DISC), as exemplified by frameworks such as Hadoop and Spark. In this context, the SciDISC project addresses the grand challenge of scientific data analysis using DISC, by developing architectures and methods to combine simulation and data analysis. SciDISC is an ongoing project between Inria, several research institutions in Rio de Janeiro and NYU. This paper introduces the motivations and objectives of the project, and reports on the first results achieved so far.
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M3 - Conference article
AN - SCOPUS:85052792331
SN - 1613-0073
VL - 2170
SP - 1
EP - 8
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 27 August 2018
ER -