Data-intensive HPC: opportunities and challenges

Patrick Valduriez (1)

1 ZENITH - Scientific Data Management

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.

Mots clés: Big data; High performance computing

Domaines: Base de données [cs.DB]; Calcul parallèle, distribué et partagé [cs.DC]

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