Zobrazeno 1 - 10
of 282
pro vyhledávání: '"K. Bertels"'
Autor:
P. Cadareanu, N. Reddy C, C. G. Almudever, A. Khanna, A. Raychowdhury, S. Datta, K. Bertels, V. Narayanan, M. Di Ventra, P.-E. Gaillardon
Publikováno v:
DATE
Innovative and new computing paradigms must be considered as we reach the limits of von Neumann computing caused by the growth in necessary data processing. This paper provides an introduction to three emerging computing models that have established
Autor:
R. Versluis, S. Poletto, N. Khammassi, B. Tarasinski, N. Haider, D. J. Michalak, A. Bruno, K. Bertels, L. DiCarlo
Publikováno v:
Physical Review Applied, 8(3)
Physical Review Applied, 3, 8
Physical Review Applied, 3, 8
We present a scalable scheme for executing the error-correction cycle of a monolithic surface-code fabric composed of fast-flux-tuneable transmon qubits with nearest-neighbor coupling. An eight-qubit unit cell forms the basis for repeating both the q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad28dd39e78c12d573113ecdd654eded
http://resolver.tudelft.nl/uuid:2e504e72-76e6-42c5-b8cf-241fe9eb3f4e
http://resolver.tudelft.nl/uuid:2e504e72-76e6-42c5-b8cf-241fe9eb3f4e
Publikováno v:
SAE Technical Paper Series.
Autor:
M. Sabeghi, K. Bertels
Publikováno v:
2009 Design, Automation & Test in Europe Conference & Exhibition.
Publikováno v:
2009 Design, Automation & Test in Europe Conference & Exhibition.
Akademický článek
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Akademický článek
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Autor:
S. Vassiliadis, K. Bertels
Publikováno v:
ICPS
GRID of heterogeneous computing units is increasingly used to perform distributed computing operations where local resources are globally shared to perform some function. Resource management for highly heterogeneous and dynamically evolving networks
Publikováno v:
WCRE
IEEE Society Press
IEEE Society Press
A method of program understanding is presented, based on a cognitive model of programming knowledge, and incorporating the basic concepts, structures, and strategies used by human expert programmers. The approach involves the generation of a high-lev
Autor:
K. Bertels, Stamatis Vassiliadis
Publikováno v:
Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.
We investigate small depth and size feed-forward neural networks performing binary addition. We propose a set of equations that can be used to realize small depth inexpensive networks for arbitrary operand lengths. In particular we show that O(n) dep