Etude statistique de l’énergie dans les circuits intégrés CMOS-FDSOI : caractérisation et optimisation

Rida Kheirallah 1
1 SmartIES - Smart Integrated Electronic Systems
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : For advanced technology nodes, static consumption of integrated circuits has become a key factor for the microelectronics industry. Circuit energy efficiency is measured in terms of performance and static consumption. With the increase of physical and environmental parameters, the Fully-Depleted Silicon-on-Insulator technology allows to extend Moore's law in the nanometer domain. In this work, a statistical study of CMOS-FDSOI integrated circuit energy is carried out. Statistical libraries characterizing delay and static power of CMOS-FDSOI transistors are presented. Given the advantages of the FDSOI technology, statistical approaches based on the libraries are applied in order to estimate delay and static power. While maintaining the accuracy of the estimations, these approaches provide a significant gain in CPU time. Following delay and static power estimation, CMOS-FDSOI transistors energy variations are considered according to supply voltage and voltage body biasing. Thus, by determining an efficient Delay-Static Power compromise and the development of a statistical optimization flow, static energy of a circuit has been optimized.
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01817463
Contributor : Abes Star <>
Submitted on : Monday, June 18, 2018 - 8:54:06 AM
Last modification on : Friday, April 19, 2019 - 1:40:48 AM
Long-term archiving on : Wednesday, September 19, 2018 - 11:15:35 PM

File

2016_KHEIRALLAH_archivage.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01817463, version 1

Citation

Rida Kheirallah. Etude statistique de l’énergie dans les circuits intégrés CMOS-FDSOI : caractérisation et optimisation. Micro et nanotechnologies/Microélectronique. Université Montpellier, 2016. Français. ⟨NNT : 2016MONTT342⟩. ⟨tel-01817463⟩

Share

Metrics

Record views

117

Files downloads

69