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Communication Dans Un Congrès Année : 2023

Method for Data-Driven Pruning in Micropipeline Circuits

Résumé

Asynchronous micropipeline circuits are an effective alternative to their synchronous counterparts for reducing dynamic power consumption, because they offer proper signaling for disabling useless blocks. In this paper, a novel approach is suggested that uses such signaling to prune irrelevant data. The result is a decrease in switching activity, dynamic consumption, and an increase of the average throughput. The method relies on new control-path elements, which conditionally prune data-path elements. Thanks to these controllers, the registers do not sample new data when pruned and subsequent data propagation is avoided. The former can replace standard controllers in any micropipeline circuit without changing the architecture of the control-path. Furthermore, the outline of the methodology is given for a micropipeline circuit and the method is explained through the illustrative example of a digital filter.

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Dates et versions

hal-04331953 , version 1 (08-12-2023)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

  • HAL Id : hal-04331953 , version 1

Citer

Cristiano Merio, Xavier Lesage, Ali Naimi, Sylvain Engels, Katell Morin-Allory, et al.. Method for Data-Driven Pruning in Micropipeline Circuits. 31st IFIP/IEEE Conference on Very Large Scale Integration (VLSI-SoC 2023), Oct 2023, Sharjah, United Arab Emirates. ⟨hal-04331953⟩

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