LEADER 03031nam 2200397 450 001 9910774827703321 005 20230218150510.0 035 $a(CKB)4920000000813295 035 $a(NjHacI)994920000000813295 035 $a(EXLCZ)994920000000813295 100 $a20230218d2021 uy 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpirito di Arcetri $eA cento anni dalla nascita dell'Istituto di Fisica dell'Universita? di Firenze /$fR. Casalbuoni, Daniele Dominici, Massimo Mazzoni 210 1$aFirenze, Italy :$cFirenze University Press,$d2021. 215 $a1 online resource (xiv, 242 pages) 311 $a88-5518-400-8 330 $aIl volume ripercorre gli anni salienti dell'attivita? dell'Istituto di Fisica di Arcetri, in occasione del centenario dell'inaugurazione. Il periodo prescelto, che permette di ricostruire la nascita di alcuni gruppi di ricerca presenti tuttora nel Dipartimento, va dall'arrivo di Garbasso nel 1913 alla fine degli anni Sessanta. Il testo contiene una prima parte sulla storia dell'Istituto di Fisica negli anni appena citati, cui segue una seconda parte in cui vengono delineate le schede biografiche di alcuni dei protagonisti. Nell'ultima parte viene riportato un indice dei titolari dei corsi di Fisica e di Astronomia, a Firenze, dal 1876 al 1969, risultato del lavoro di ricerca condotto presso l'Archivio Storico dell'Universita? di Firenze. 330 $aOn 7 November 1921, the new Institute of Physics of the Royal Institute of Higher, Practical and Advanced Studies of Florence was inaugurated in Arcetri. Three years later, with the establishment of the University of Florence, the Degree Course in Physics would start: as such an adventure in research and scientific training began, which would take us to the present day. To mark the centenary of the inauguration of the Institute of Physics in Arcetri, the book takes the opportunity to retrace a part of those years. The period chosen ranged from the arrival of Garbasso in 1913 to the end of the 1960s. The book contains a first part, documenting the history of the Institute of Physics during the above mentioned years. This is followed by a second part, outlining the biographies of some of the protagonists of that history. In the final part, there is an index of the holders of the courses of Physics and Astronomy in Florence from 1876 to 1969. This landscape is the result of research work conducted in the University's Historical Archives of the University. 517 $aLo spirito di Arcetri 517 $aSpirito di Arcetri 606 $aPhysics$xStudy and teaching 615 0$aPhysics$xStudy and teaching. 676 $a530.071 700 $aCasalbuoni$b R.$045605 702 $aMazzoni$b Massimo 702 $aDominici$b Daniele 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910774827703321 996 $aSpirito di Arcetri$93663910 997 $aUNINA LEADER 01706nam 2200349 450 001 996574813003316 005 20230421084822.0 010 $a1-66541-124-4 035 $a(CKB)5590000000639601 035 $a(NjHacI)995590000000639601 035 $a(EXLCZ)995590000000639601 100 $a20230421d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) /$fInstitute of Electrical and Electronics Engineers 210 1$aPiscataway, New Jersey :$cIEEE,$d2021. 215 $a1 online resource (vii, 108 pages) 311 $a1-66541-125-2 330 $aThe intent of this workshop is to bring together researchers, practitioners, and scientific communities to discuss methods that utilize extreme scale systems for machine learning This workshop will focus on the greatest challenges in utilizing HPC for machine learning and methods for exploiting data parallelism, model parallelism, ensembles, and parameter search We invite researchers and practitioners to participate in this workshop to discuss the challenges in using HPC for machine learning and to share the wide range of applications that would benefit from HPC powered machine learning. 517 $a2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments 606 $aMachine learning$vCongresses 615 0$aMachine learning 676 $a006.31 801 0$bNjHacI 801 1$bNjHacl 906 $aPROCEEDING 912 $a996574813003316 996 $a2021 IEEE$92518023 997 $aUNISA