Scientific data analysis using data-intensive scalable computing: The SciDISC project

Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José Camata, Alvaro Coutinho, Daniel Gaspar, Noel Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabricio Nogueira Da Silva, Vítor Silva, Renan Souza, Kary Ocaña, Eduardo Ogasawara, Daniel De Oliveira, Esther Pacitti, Fabio Porto, Dennis Shasha

Research output: Contribution to journalConference article

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1-8
Number of pages8
JournalCEUR Workshop Proceedings
Volume2170
StatePublished - 2018
Event2018 Latin America Data Science Workshop, LADaS 2018 - Rio de Janeiro, Brazil
Duration: Aug 27 2018 → …

ASJC Scopus subject areas

  • Computer Science(all)

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