Big Data is today both an emerging research area and a real present and future demand. High Performance Computing (HPC) Centers cannot neglect this fact and have to be reshaped to fulfill this need. In this paper we share our experience of upgrading a HPC Center at Politecnico di Torino, originally designed and deployed in 2010. We believe that this issue could be common to some other existing “general purpose” HPC centers where, at least in the short term, the possibility to start from scratch a new Big Data HPC center cannot be afforded but a balanced upgrade of the existing system has to be preferred.

Thinking BigData: Motivation, Results and a Few Recipes for a Balanced Growth of High Performance Computing in Academia / Margara, Paolo; Nepote, Nicolo'; Piccolo, Elio; Demartini, Claudio Giovanni; Montuschi, Paolo. - ELETTRONICO. - (2013), pp. 694-703. ((Intervento presentato al convegno Congresso Nazionale AICA 2013 tenutosi a Fisciano (SA) nel 18-20 September 2013.

Thinking BigData: Motivation, Results and a Few Recipes for a Balanced Growth of High Performance Computing in Academia

MARGARA, PAOLO;NEPOTE, NICOLO';PICCOLO, Elio;DEMARTINI, Claudio Giovanni;MONTUSCHI, PAOLO
2013

Abstract

Big Data is today both an emerging research area and a real present and future demand. High Performance Computing (HPC) Centers cannot neglect this fact and have to be reshaped to fulfill this need. In this paper we share our experience of upgrading a HPC Center at Politecnico di Torino, originally designed and deployed in 2010. We believe that this issue could be common to some other existing “general purpose” HPC centers where, at least in the short term, the possibility to start from scratch a new Big Data HPC center cannot be afforded but a balanced upgrade of the existing system has to be preferred.
File in questo prodotto:
File Dimensione Formato  
paper_final_NN_august.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 494.71 kB
Formato Adobe PDF
494.71 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2515677
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo