DocumentCode
627795
Title
Worst-case power supply noise and temperature distribution analysis for 3D PDNs with multiple clock domains
Author
Todri-Sanial, Aida ; Bosio, A. ; Dilillo, L. ; Girard, P. ; Pravossoudovitch, S. ; Virazel, A.
Author_Institution
LIRMM, Univ. of Montpellier II, Montpellier, France
fYear
2013
fDate
16-19 June 2013
Firstpage
1
Lastpage
4
Abstract
On-going advancements in 3D manufacturing are enabling 3D ICs to contain several processing cores, hardware accelerators and dedicated peripherals. Most of these functional units operate with independent clock frequencies for power management reasons or simply for being hard IPs. Thus, as diverse and heterogeneous circuits can be implemented on a 3D IC, it also leads to use of multiple clock domains. While these domains allow many functional units to run in parallel to exploit 3D potentials, they also introduce power delivery challenges. This work discusses power and thermal integrity issues that arise from multiple clock domains that share the same 3D global power delivery network (PDN). We first present power supply noise distribution on each tier and investigate scenarios that lead to worst case noise. Thermal analyses are also performed and heat distribution among clock domains and tiers is examined. Experiments show that TSVs contribute to power supply noise and heat sharing among tiers.
Keywords
integrated circuit manufacture; temperature distribution; thermal analysis; three-dimensional integrated circuits; 3D IC; 3D PDN; 3D global power delivery network; 3D manufacturing; TSV; for power management; hardware accelerators; heat distribution; power supply noise distribution; processing cores; temperature distribution analysis; thermal analyses; worst-case power supply noise; Clocks; Integrated circuit modeling; Noise; Power grids; Power supplies; Temperature distribution; Temperature measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
Conference_Location
Paris
Print_ISBN
978-1-4799-0618-5
Type
conf
DOI
10.1109/NEWCAS.2013.6573628
Filename
6573628
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