DocumentCode
3361868
Title
A method using circuit/substrate macro modeling to analyze substrate noise in a 3.2-GHz 350M-transistor microprocessor
Author
Sode, Mikiko ; Kajita, Mikihiro ; Nakayama, Naoya ; Nakamoto, Satoshi
Author_Institution
NEC Electron. Corp., Kawasaki
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
687
Lastpage
690
Abstract
Substrate noise analysis has become increasingly important in recent LSI design. This is because substrate noise, which affects PLLs, causes jitter that results in timing error. Conventional analysis techniques of substrate noise are, however, impractical for large-scale designs that have hundreds of millions of transistors because the computational complexity is too huge. To solve this problem, we have developed a fast substrate noise analysis technique for large-scale designs, one in which a chip is divided into multiple domains by using current density variation and the circuits of each domain are reduced into a macro model. Using this technique, we have designed a microprocessor chip for use in the supercomputer SX-9 (die size: 20 mm times 21 mm, frequency: 3.2 GHz, transistor count: 350 M). Computation time with this design is five times shorter than [2] that with a 1/3000 scale design using a conventional technique, while resulting discrepancy with measured period jitter is less than 15%.
Keywords
large scale integration; microprocessor chips; network synthesis; phase locked loops; transistor circuits; M-transistor microprocessor; PLL; circuit/substrate macro modeling; large scale integration design; microprocessor chip; substrate noise analysis; Circuit noise; Computational complexity; Current density; Error analysis; Large scale integration; Large-scale systems; Microprocessor chips; Noise reduction; Supercomputers; Timing jitter;
fLanguage
English
Publisher
ieee
Conference_Titel
Custom Integrated Circuits Conference, 2008. CICC 2008. IEEE
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-2018-6
Electronic_ISBN
978-1-4244-2019-3
Type
conf
DOI
10.1109/CICC.2008.4672179
Filename
4672179
Link To Document