Toward dynamically adapting wireless intra-chip channels to traffic needs with a programmable metasurface
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Cita com:
hdl:2117/340522
Tipus de documentText en actes de congrés
Data publicació2020
EditorAssociation for Computing Machinery (ACM)
Condicions d'accésAccés obert
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ProjecteVISORSURF - VisorSurf (EC-H2020-736876)
WiPLASH - Architecting More Than Moore – Wireless Plasticity for Heterogeneous Massive Computer Architectures (EC-H2020-863337)
WiPLASH - Architecting More Than Moore – Wireless Plasticity for Heterogeneous Massive Computer Architectures (EC-H2020-863337)
Abstract
We introduce the idea of endowing on-chip wireless propagation environments with in-situ programmability by equipping the chip package with a programmable metasurface. The limitations of current wired chip interconnect fabrics present a serious performance bottleneck for multi-core chips. Wireless links between far-apart cores are a promising complementary link technique but struggle with the complex on-chip propagation environment presenting strong multipath effects. We expect that these challenges can be addressed with the ability to shape wireless channels between far-apart cores and to dynamically adapt them to traffic needs; for instance, by tailoring the impulse response between two wireless nodes, it may be feasible to prevent inter-symbol interference. Here, we present our recent progress toward this goal, including an analysis of the on-chip propagation environment, an efficient design of programmable meta-atoms suitable for the on-chip environment and operating in the 60 GHz regime, and a detailed discussion of different single-channel and multi-channel use-case scenarios.
CitacióImani, M.; Abadal, S.; Del Hougne, P. Toward dynamically adapting wireless intra-chip channels to traffic needs with a programmable metasurface. A: ACM International Workshop on Nanoscale Computing, Communication, and Applications. "NanoCoCoA'20: proceedings of the 1st ACM International Workshop on Nanoscale Computing, Communication, and Applications: November 16, 2020, virtual event, Japan". New York: Association for Computing Machinery (ACM), 2020, p. 20-25. ISBN 978-1-4503-8116-1. DOI 10.1145/3416006.3431274.
ISBN978-1-4503-8116-1
Versió de l'editorhttps://dl.acm.org/doi/10.1145/3416006.3431274
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Nanococoa20.pdf | Postprint - Article principal | 2,589Mb | Visualitza/Obre |