Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

European Processor Initiative:Europe's Approach to Exascale Computing (CROSBI ID 73640)

Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija

Kovač, Mario ; Denis, Jean-Marc ; Notton, Philippe ; Walter, Etienne ; Dutoit, Denis ; Badstuebner, Frank ; Stilkerich, Stephan ; Feldmann, Christian ; Dinechin, Benoît ; Stevens, Renaud et al. European Processor Initiative:Europe's Approach to Exascale Computing // HPC, Big Data, and AI Convergence Towards Exascale / Terzo, Olivier ; Martinovič, Jan (ur.). Boca Raton (FL): CRC Press, 2022. str. 273-290

Podaci o odgovornosti

Kovač, Mario ; Denis, Jean-Marc ; Notton, Philippe ; Walter, Etienne ; Dutoit, Denis ; Badstuebner, Frank ; Stilkerich, Stephan ; Feldmann, Christian ; Dinechin, Benoît ; Stevens, Renaud ; Magugliani, Fabrizio ; Chaves, Ricardo ; Knezović, Josip ; Hofman, Daniel ; Brčić, Mario ; Vukušić, Katarina ; Krajna, Agneza ; Dragić, Leon ; Piljić, Igor ; Kovač, Mate ; Malnar, Branimir ; Duspara, Alen

engleski

European Processor Initiative:Europe's Approach to Exascale Computing

The European Processor Initiative (EPI) project is one of the cornerstones of the European Union’s strategic plan for future Exascale high-performance computing. The project is currently implemented under the first stage of the Framework Partnership Agreement (FPA) signed by the EPI Consortium with the European Commission with the objective of designing and implementing a roadmap for a new family of low-power European microprocessor technology for extreme-scale computing for high-performance, big-data, automotive, and other emerging application domains. The first phase – Strategic Grant Agreement 1 (SGA1), ends in November 2021. Following SGA1 the Consortium is setting up the next phase under the EuroHPC JU. The project will enable scientific leadership and industrial competitiveness in not just microprocessor technology, but also in the above-mentioned key application areas.

HPC ; Big Data ; AI ; Exascale

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

273-290.

objavljeno

Podaci o knjizi

HPC, Big Data, and AI Convergence Towards Exascale

Terzo, Olivier ; Martinovič, Jan

Boca Raton (FL): CRC Press

2022.

9781003176664

Povezanost rada

Interdisciplinarne tehničke znanosti, Računarstvo, Temeljne tehničke znanosti