COSA is a project funded by the Scientific Commission V of the Italian Institute for Nuclear Physics (INFN). The main focus of the project is to investigate the performances, the total cost of ownership and the possibilities offered by computing systems based on commodity low power Systems on Chip (SoC). Computing performances will be measured running real life applications taken from the High Energy Physics (HEP) community belonging to the Institute. The project is building and maintaining three clusters. One is located in Bologna (CNAF department) and will be composed of development boards powered by the state of the art low power SoCs running Linux. Another one, located in Rome (ROME1 department) exploits the last generation FPGAs to prototype low latency network connections between low power CPUs. The third cluster, located in the Padova department, is based on traditional, non-low-power, CPUs, accelerators and network connections. This cluster is used as a reference for the performance of the scientific applications run on the other two clusters

Computing on SoC Architecures (COSA)

Enrico Calore;Alessandro Gabbana;Sebastiano Fabio Schifano;
2015

Abstract

COSA is a project funded by the Scientific Commission V of the Italian Institute for Nuclear Physics (INFN). The main focus of the project is to investigate the performances, the total cost of ownership and the possibilities offered by computing systems based on commodity low power Systems on Chip (SoC). Computing performances will be measured running real life applications taken from the High Energy Physics (HEP) community belonging to the Institute. The project is building and maintaining three clusters. One is located in Bologna (CNAF department) and will be composed of development boards powered by the state of the art low power SoCs running Linux. Another one, located in Rome (ROME1 department) exploits the last generation FPGAs to prototype low latency network connections between low power CPUs. The third cluster, located in the Padova department, is based on traditional, non-low-power, CPUs, accelerators and network connections. This cluster is used as a reference for the performance of the scientific applications run on the other two clusters
2015
2018
Nazionale
Responsabile di Unità locale
Nessun Finanziamento
Cesini, Daniele; Corni, Elena; Falabella, Antonio; Ferraro, Andrea; Morganti, Lucia; Calore, Enrico; Gabbana, Alessandro; Schifano, Sebastiano Fabio; ...espandi
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in SFERA 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: https://hdl.handle.net/11392/2382546
 Attenzione

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

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact