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

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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Contributor : Patrick Valduriez Connect in order to contact the contributor
Submitted on : Tuesday, September 4, 2018 - 4:09:22 PM
Last modification on : Friday, August 5, 2022 - 3:03:28 PM
Long-term archiving on: : Wednesday, December 5, 2018 - 5:48:45 PM


ldas 2018 - scidisc.pdf
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  • HAL Id : lirmm-01867804, version 1


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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