The main design principles in computer architecture have recently shifted from a monolithic scaling-driven approach to the development of heterogeneous architectures that tightly co-integrate multiple specialized processor and memory chiplets. In such data-hungry multi-chip architectures, current Networksin- Package (NiPs) may not be enough to cater to their heterogeneous and fast-changing communication demands. This position paper makes the case for wireless in-package networking as the enabler of efficient and versatile wired-wireless interconnect fabrics for massive heterogeneous processors. To that end, the use of graphene-based antennas and transceivers with unique frequency-beam reconfigurability in the terahertz band is proposed. The feasibility of such a wireless vision and the main research challenges towards its realization are analyzed from the technological, communications, and computer architecture perspectives.

Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors

Rossi D.
Writing – Original Draft Preparation
;
Conti F.
Writing – Original Draft Preparation
;
2022

Abstract

The main design principles in computer architecture have recently shifted from a monolithic scaling-driven approach to the development of heterogeneous architectures that tightly co-integrate multiple specialized processor and memory chiplets. In such data-hungry multi-chip architectures, current Networksin- Package (NiPs) may not be enough to cater to their heterogeneous and fast-changing communication demands. This position paper makes the case for wireless in-package networking as the enabler of efficient and versatile wired-wireless interconnect fabrics for massive heterogeneous processors. To that end, the use of graphene-based antennas and transceivers with unique frequency-beam reconfigurability in the terahertz band is proposed. The feasibility of such a wireless vision and the main research challenges towards its realization are analyzed from the technological, communications, and computer architecture perspectives.
2022
Abadal S.; Guirado R.; Taghvaee H.; Jain A.; Santana E.P.D.; Bolivar P.H.; Saeed M.; Negra R.; Wang Z.; Wang K.; Lemme M.C.; Klein J.; Zapater M.; Levisse A.; Atienza D.; Rossi D.; Conti F.; Dazzi M.; Karunaratne G.; Boybat I.; Sebastian A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/904610
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