Data-intensive HPC: opportunities and challenges

Patrick Valduriez 1
1 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Data-intensive computing and HPC are two different computing paradigms (data-centric versus compute-centric), targeting different application domains (mainly business data processing versus computational science). But with the advent of big data, the blending of these areas into data-intensive HPC offers new opportunities to solve bigger problems, as well as new research challenges.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01184018
Contributor : Patrick Valduriez <>
Submitted on : Wednesday, August 12, 2015 - 3:34:47 PM
Last modification on : Tuesday, February 19, 2019 - 10:38:45 AM
Long-term archiving on: Friday, November 13, 2015 - 11:39:47 AM

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Patrick Valduriez. Data-intensive HPC: opportunities and challenges. BDEC: Big Data and Extreme-scale Computing, Barcelona Supercomputing Center, Jan 2015, Barcelone, Spain. ⟨lirmm-01184018⟩

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