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 | Dimensione | Formato | |
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https://hdl.handle.net/11583/2515677
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