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The role of medium size facilities in the HPC ecosystem: the case of the new CRESCO4 cluster integrated in the ENEAGRID infrastructure

Title: The role of medium size facilities in the HPC ecosystem: the case of the new CRESCO4 cluster integrated in the ENEAGRID infrastructure
Authors: G Ponti; F Palombi; D Abate; F Ambrosino; G Aprea; T Bastianelli; F Beone; R Bertini; G Bracco; M Caporicci; B Calosso; M Chinnici; A Colavincenzo; A Cucurullo; P Dangelo; M De Rosa; P De Michele; A Funel; G Furini; D Giammattei; S Giusepponi; R Guadagni; G Guarnieri; A Italiano; S Magagnino; A Mariano; G Mencuccini; C Mercuri; S Migliori; P Ornelli; S Pecoraro; A Perozziello; S Pierattini; S Podda; F Poggi; A Quintiliani; A Rocchi; C Sciò; F Simoni; A Vita
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://www.afs.enea.it/project/eneagrid/papers_presentations/papers/HPCS14_4pages.pdf.
Collection: CiteSeerX
Description: Medium size HPC clusters play an important role in the HPC landscape in that they provide both the training environment for system scalability and a flexible production field for a large class of numerical problems. In this poster we present CRESCO4, the latest medium size HPC cluster purchased by ENEA, in operation since few months. CRESCO4 is part of a family of HPC systems, all integrated within ENEAGRID, a large infrastructure for cloud computing, which includes all the computational facilities installed at several ENEA sites in Italy. Keywords-HPC, supercomputing, Linux clusters I. ROLE OF MEDIUM SIZE HPC CLUSTERS Since a long time it has been established that performance data populating the TOP500 list tend to follow Zipf distributions [1], e.g. with k denoting the rank in the list and A and b representing time depending constants. In particular, it is known that A tends to increase exponentially in time as a reflection of the Moore's law. More subtle is the trend of the exponent b: while displaying a slight decrease over the years 1999-2007 [2], it shows a slow growth since 2009 up to date, thus signaling an increase in time of the unbalance of computing power between higher and lower ranks in the list a . More precisely, (1) holds not only on the global stage but also at a national level. If this is correct, we can speculate that both global and local HPC ecosystems have been recently evolving towards a concentration of computing power within larger and larger facilities, aimed at reaching the exa-scale computing, whereas -by contrast -intermediate machines are suffering from a less focused attention.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1084.431; http://www.afs.enea.it/project/eneagrid/papers_presentations/papers/HPCS14_4pages.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1084.431; http://www.afs.enea.it/project/eneagrid/papers_presentations/papers/HPCS14_4pages.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.4E080E13
Database: BASE