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Conference Papers Year : 2018

Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project

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Reza Akbarinia
Florent Masseglia
Esther Pacitti

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.
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Dates and versions

lirmm-01867804 , version 1 (04-09-2018)

Identifiers

  • HAL Id : lirmm-01867804 , version 1

Cite

Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José Camata, et al.. Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project. LADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil. ⟨lirmm-01867804⟩
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