Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Interconnect bottleneck"'
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 15:1-28
Spiking neural networks (SNNs) are artificial neural network models that more closely mimic biological neural networks. In addition to neuronal and synaptic state, SNNs incorporate the variant time scale into their computational model. Since each neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d70ac757d1439255e693bf37a99ee913
https://doi.org/10.1145/3340963
https://doi.org/10.1145/3340963
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38:1625-1634
As 2-D CMOS reaches its fundamental scaling limits due to device, manufacturing, and interconnect bottleneck related constraints at the nanoscale, migration to 3-D provides a possible alternative to continue technology scaling in future. Toward that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7331f8d4b5693d98281fcd348c3a1a86
https://doi.org/10.1109/tcad.2018.2848588
https://doi.org/10.1109/tcad.2018.2848588
Autor:
Abderazek Ben Abdallah, Khanh N. Dang
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience
Frontiers in Neuroscience
Spiking Neuromorphic systems have been introduced as promising platforms for energy-efficient spiking neural network (SNNs) execution. SNNs incorporate neuronal and synaptic states in addition to the variant time scale into their computational model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4d86793e7ee672ae12d5d3e5dfacbf1
https://doi.org/10.3389/fnins.2021.690208
https://doi.org/10.3389/fnins.2021.690208
Autor:
Erik Dujardin, Raminfar Al Rafrafin, Florian Dell'Ova, Raffaele Mezzenga, Sreenath Bolisetty, Gérard Colas des Francs, Alexandre Bouhelier, Aurélien Cuche, Christian Girard, Upkar Kumar, Sviatlana Viarbitskaya
Publikováno v:
ACS Nano
ACS Nano, American Chemical Society, In press, ⟨10.1021/acsnano.1c03196⟩
ACS Nano, 2021, 15 (8), pp.13351. ⟨10.1021/acsnano.1c03196⟩
ACS Nano, American Chemical Society, In press, ⟨10.1021/acsnano.1c03196⟩
ACS Nano, 2021, 15 (8), pp.13351. ⟨10.1021/acsnano.1c03196⟩
International audience; Processing information with conventional integrated circuits remains beset by the interconnect bottleneck: circuits made of smaller active devices need longer and narrower interconnects, which have become the prime source of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5abb48f71ec11e23f2757918c7fc6276
https://hal.archives-ouvertes.fr/hal-02330410v2/file/2021-08_HAL_PreDeposit_v2.pdf
https://hal.archives-ouvertes.fr/hal-02330410v2/file/2021-08_HAL_PreDeposit_v2.pdf
Autor:
Masoud Babaie, Andrea Corna, Brian Paquelet Wuetz, Fabio Sebastiano, Brando Perez Esparza, Carlos Nieva, Jeroen P. G. van Dijk, Esdras Juarez-Hernandez, Amir Sammak, Nodar Samkharadze, Farhana Sheikh, Huzaifa Rampurawala, Sushil Subramanian, Edoardo Charbon, Charles Jeon, Hyung-Jin Lee, Surej Ravikumar, Sungwon Kim, Bishnu Patra, Brent Carlton, Giordano Scappucci, Menno Veldhorst, Stefano Pellerano, Xiao Xue, Lieven M. K. Vandersypen
Publikováno v:
Nature: international weekly journal of science, 593(7858)
The most promising quantum algorithms require quantum processors that host millions of quantum bits when targeting practical applications1. A key challenge towards large-scale quantum computation is the interconnect complexity. In current solid-state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e8b00d27972047603a9882c52d36225
http://arxiv.org/abs/2009.14185
http://arxiv.org/abs/2009.14185
Autor:
Khaled Salah Mohamed
Publikováno v:
Neuromorphic Computing and Beyond ISBN: 9783030372231
Golden Moore predicted that the number of transistors in an integrated circuit doubles every 18 months. This law is known as Technology Growth Law. Now, Moore’s law reaches saturation due to manufacturing, materials, and design limitations. New tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3238db2c20f5b9a0bcb2a20dff00c773
https://doi.org/10.1007/978-3-030-37224-8_3
https://doi.org/10.1007/978-3-030-37224-8_3
Publikováno v:
Nature Electronics. 1:442-450
In the past five decades, the semiconductor industry has gone through two distinct eras of scaling: the geometric (or classical) scaling era and the equivalent (or effective) scaling era. As transistor and memory features approach 10 nanometres, it i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34825570e83e6ab229a90bbfc9741f88
https://doi.org/10.1038/s41928-018-0117-x
https://doi.org/10.1038/s41928-018-0117-x
Autor:
Burhan Gulbahar
Publikováno v:
IEEE Transactions on Molecular, Biological and Multi-Scale Communications. 3:60-70
Graphene with significant potentials in diverse areas of physical and biological sciences is proposed as a solution to complementary problems of semiconductor and biomedical industries, i.e., the on-chip (OC) interconnect bottleneck and in-body (IB)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f2e9d31f8723107b3b0fe896bd47c1
https://doi.org/10.1109/tmbmc.2017.2655022
https://doi.org/10.1109/tmbmc.2017.2655022
Autor:
Menno Veldhorst, L. A. Yeoh, Fabio Sebastiano, C.H. van der Does, Giordano Scappucci, Carmen G. Almudever, B. Paquelet Wuetz, James S. Clarke, D. Sabbagh, P. L. Bavdaz, Amir Sammak, Raymond N. Schouten, M. J. Tiggelman
Publikováno v:
NPJ Quantum Information, 6(1)
npj Quantum Information, Vol 6, Iss 1, Pp 1-8 (2020)
npj Quantum Information, Vol 6, Iss 1, Pp 1-8 (2020)
Continuing advancements in quantum information processing have caused a paradigm shift from research mainly focused on testing the reality of quantum mechanics to engineering qubit devices with numbers required for practical quantum computation. One
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47a7c053afe8ce2e54739d18ba39e117
http://arxiv.org/abs/1907.11816
http://arxiv.org/abs/1907.11816
Autor:
Martin M. Fejer, Michael G. Raymer, Sophia E. Economou, Amir H. Safavi-Naeini, Karl K. Berggren, Maria Spiropulu, Martin V. Gustafsson, Hannes Bernien, Jason S. Orcutt, Mikhail D. Lukin, Paul Davids, Sae Woo Nam, Andrew M. Weiner, Lincoln D. Carr, Jelena Vuckovic, Ronald L. Walsworth, Paul G. Kwiat, Edo Waks, Saikat Guha, Shuo Sun, Kartik Srinivasan, Christopher Monroe, Sunil A. Bhave, David A. B. Miller, Zheshen Zhang, Liang Jiang, David D. Awschalom, Evelyn L. Hu, Marko Loncar, Andrei Faraon, Prem Kumar, Boris Korzh, Jungsang Kim, Dirk Englund, Prineha Narang
Just as classical information technology rests on a foundation built of interconnected information-processing systems, quantum information technology (QIT) must do the same. A critical component of such systems is the interconnect, a device or proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f859f52fa9b8b0860ac88a4671240466