Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Paolo Gargini"'
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 308 (2021)
This paper is dedicated to a review of the international effort to map the future of nanoelectronics from materials to systems for the new electronics industry. The following sections are highlighted: the Roadmap structure with the international team
Externí odkaz:
https://doaj.org/article/0f38220833da41dd98dc2604e5a3ca44
Publikováno v:
Applied Sciences, Vol 12, Iss 308, p 308 (2022)
This paper is dedicated to a review of the international effort to map the future of nanoelectronics from materials to systems for the new electronics industry. The following sections are highlighted: the Roadmap structure with the international team
Publikováno v:
2022 IEEE Future Networks World Forum (FNWF).
Autor:
Tim Lee, Harish Krishnaswamy, Paolo Gargini, Earl McCune, Harrison Chang, Anding Zhu, Alberto Valdes-Garcia
Publikováno v:
2022 IEEE Future Networks World Forum (FNWF).
Autor:
Linda Wilson, Hidemi Ishiuchi, Paolo Gargini, Alan Allan, Francis Balestra, Yoshihiro Hayashi, Leo Kenny
Publikováno v:
2021 IEEE International Roadmap for Devices and Systems Outbriefs.
Publikováno v:
Computer. 51:86-89
Quantum computers are creating buzz from Silicon Valley to the halls of Congress. But the hardware has only been prototyped at small scale. Could applying the engineering processes used to scale up semiconductors also accelerate quantum computer deve
Autor:
Paolo Gargini
Publikováno v:
Computing in Science & Engineering. 19:51-62
The combination of Moore's law and Dennard's scaling laws constituted the fundamental guidelines that provided the semiconductor industry with the foundation of a technically and economically viable roadmap until the end of the previous century. Duri
Publikováno v:
Computer. 50:20-29
The IEEE Rebooting Computing Initiative, proposed in 2012, has launched a 15-year technology roadmap to address escalating computing-performance pressures: stalled device-physics advances coupled with big data demands, novel machine-learning problems
Publikováno v:
Computer. 50:69-73
Rather than continue the expensive and time-consuming quest for transistor replacement, the authors argue that 3D chips coupled with new computer architectures can keep Moore’s law on its traditional scaling path.
Autor:
Scott Holmes, D., Erik Debenedictis, Robert Fagaly, Pascal Febvre, Deepnarayan Gupta, Anna Herr, Anna Leese de Escobar, Nancy Missert, Oleg Mukhanov, Satyavolu Papa Rao, Nobuyuki Yoshikawa, Paolo Gargini
Publikováno v:
Applied Superconductivity Conference (ASC 2018)
Applied Superconductivity Conference (ASC 2018), Oct 2018, Seattle, United States
HAL
Applied Superconductivity Conference (ASC 2018), Oct 2018, Seattle, United States
HAL
5EOr1A-01; International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2298e048ff910e93c1c211eee1d2082f
https://hal.archives-ouvertes.fr/hal-02018249
https://hal.archives-ouvertes.fr/hal-02018249