In this paper, we describe the work done in order to run the CT 3-D reconstruction algorithm on the 120 GB raw data from the more than 25 000 radiographs acquired from the Kongo Rikishi (XIII century) Japanese wooden statue. The work was done using the Microsoft (Redmond) HPC cluster and then on a local cluster at the INFN of Bologna. A speed-up factor of 75 was reached.
Real-Time Reconstruction for 3-D CT Applied to Large Objects of Cultural Heritage / Brancaccio R. ; Bettuzzi M. ; Casali F. ; Morigi M.P. ; Levi G.; Gallo A. ; Marchetti G. ; Schneberk D.. - In: IEEE TRANSACTIONS ON NUCLEAR SCIENCE. - ISSN 0018-9499. - STAMPA. - 58:(2011), pp. 1864-1871. [10.1109/TNS.2011.2158850]
Real-Time Reconstruction for 3-D CT Applied to Large Objects of Cultural Heritage
BRANCACCIO, ROSA;BETTUZZI, MATTEO;CASALI, FRANCO;MORIGI, MARIA PIA;LEVI, GIUSEPPE;
2011
Abstract
In this paper, we describe the work done in order to run the CT 3-D reconstruction algorithm on the 120 GB raw data from the more than 25 000 radiographs acquired from the Kongo Rikishi (XIII century) Japanese wooden statue. The work was done using the Microsoft (Redmond) HPC cluster and then on a local cluster at the INFN of Bologna. A speed-up factor of 75 was reached.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
