Title :
A parametric approach for handling local variation effects in timing analysis
Author :
Mutlu, Ayhan ; Le, Jiayong ; Molina, Ruben ; Celik, Mustafa
Author_Institution :
Extreme DA Corp., Santa Clara, CA, USA
Abstract :
In this paper we propose a new methodology, called parametric on chip variation (POCV) analysis, to determine local process variation effects on the timing of designs. The proposed methodology requires relative delay and parasitic variations of cells and interconnects, respectively. Once this information is provided, delays and arrival times are propagated to calculate slacks as a function of these relative variations. A key characteristic of the POCV analysis is that it does not require a statistical library characterization or statistical RC extraction. The POCV method has been implemented in a timing analysis software, and tested on multiple production designs on 65 nm and 45 nm technology nodes, including multi-million instance designs. Our observation was that compared to the existing methods, POCV removes unrealistical pessimism on the setup paths and captures risks on the hold paths, with no changes to the existing timing sign-off environment.
Keywords :
integrated circuit design; integrated circuit interconnections; system-on-chip; POCV; integrated circuit design; integrated circuit interconnection; local variation effect handling; parametric-on-chip variation analysis; parasitic variation; relative delay; statistical RC extraction; statistical library characterization; timing analysis; Algorithm design and analysis; Data mining; Integrated circuit interconnections; Integrated circuit technology; Manufacturing processes; Performance analysis; Permission; Propagation delay; Software libraries; Timing; On Chip Variation (OCV); Timing; parametric analysis;
Conference_Titel :
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-6055-8497-3