A Distributed Body-Biasing Strategy for Asynchronous Circuits

Fesquet, Laurent; Decoudu, Yoan; Jadue, Alexis Rodrigo Iga; Leite, Thiago Ferreira de Paiva; Rolloff, O.; Diallo, Mamadou Lamine; Bastos, Rodrigo Possamai; Morin-Allory, Katell; Engels, Sylvain

doi:10.1109/vlsi-soc.2019.8920340

Cited by 1 publication

(2 citation statements)

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“…The study in [7] shows minor gains in consumption when the BBD granularity is at a pipeline level while the area overhead strongly increases. Hence, we decide to define the BBD granularity at a system level where the start of an AFSM operation activates the body bias voltage, as shown in Fig.…”

Section: A V Th -Hopping Schemementioning

confidence: 98%

“…Moreover, we leverage the robustness of asynchronous circuits to quickly adapt the circuit to the changing gate delays. This idea has been first proposed in [6] and investigated in [7], but all these works are based on Quasi-Delay Insensitive (QDI) circuits [8]. Although QDI circuits are very robust, they are also very large compared to their synchronous counterparts and not supported by conventional EDA tools.…”

Section: Introductionmentioning

confidence: 99%

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A High-Level Design Flow for Locally Body Biased Asynchronous Circuits

Decoudu

Morin-Allory

Fesquet

2021

2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC)

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Fully Depleted Silicon on Insulator (FDSOI) technologies offer new possibilities for power management, especially with dynamic body biasing. Traditional strategies are based on a large body bias generator, which drives the IP back-gates thanks to a dedicated and often complex power management system. As asynchronous circuits use local synchronizations with handshake components, which activate only the processing parts, it is possible to take advantage of these handshake signals to implement a simple and fine-grain body biasing strategy. Instead of driving IPs with a large body bias generator, we use tiny distributed generators, locally activating small body bias regions when the circuit is processing data. These latter are based on level-shifters and implemented as standard cells. Thus, we propose a high-level design flow associating asynchronous circuits and a local body biasing strategy, which does not require complex body bias management. Indeed, the local handshake signals directly control our dedicated body bias generators. Moreover, Place and Route operations are facilitated by the use of standard cell generators. The simulations show the flow efficiency, a finer grain body biasing and a significant power reduction.

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Section: A V Th -Hopping Schemementioning

confidence: 98%