High Performance Astronomical Data Analysis towards Exascale
Date Issued
2020
Author(s)
Abstract
To date, most data-intensive HPC jobs in the government, academic and industrial sectors have involved the modelling and simulation of complex physical systems. In more recent times, the scientific data explosion is fuelling the growth of a new trend in HPC: high performance data analysis (HPDA). Some scientific disciplines (e.g. bioscience, weather and climate, security) are exploring the possibilities of HPDA to promote new insight, identifying some problems related to the nature of current HPC systems. In the design and development of the Exascale supercomputing facilities, HPDA is playing a crucial role. In this paper we will present the work done in the ExaNeSt and EuroExa EU-funded projects to build a prototype of a low power Exascale facility able to facilitate the astrophysical community in using HPC resources for data analysis and simulations.
Coverage
Astronomical Data Analysis Software and Systems XXVII
All editors
Ballester, Pascal; Ibsen, Jorge; Solar, Mauricio; Shortridge, Keith
Volume
522
Start page
49
Conferenece
Astronomical Data Analysis Software and Systems XXVII
Conferenece place
Santiago de Chile, Chile.
Conferenece date
22-26 Octobre, 2017
Issn Identifier
1050-3390
Ads BibCode
2020ASPC..522...49T
Rights
open.access
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