DocumentCode
3395568
Title
Statistical link analysis of high-speed memory I/O interfaces during simultaneous switching events
Author
Ren, Jihong ; Oh, Dan ; Chang, Sam ; Lambrecht, Frank
Author_Institution
Rambus Inc., Los Altos, CA
fYear
2008
fDate
27-29 Oct. 2008
Firstpage
25
Lastpage
28
Abstract
Single-ended signaling systems, popular in memory I/O interfaces, are limited by signal and power integrity issues such as crosstalk and simultaneous switching output noise (SSO). At high data rates, the single-ended systems also suffers from random noise and timing jitter. In this paper, we present an integrated signal and power integrity simulation flow that combines statistical and transient simulation methods to enable the characterization of single-ended systems to account for random timing jitter in addition to the traditional SI issues focused on the deterministic noise such as intersymbol interference (ISI), crosstalk, and SSO noise. To include SSO noise, we co-simulate power distribution network (PDN) and channel models and treat SSO noise as another form of crosstalk. To capture any system nonlinearity, we employ time-domain based multi-edge response (MER) method to characterize the deterministic and passive portion of channels. Then, random noise and timing jitter impact are included via statistical approach. We use GDDR system to demonstrate our simulation flow.
Keywords
crosstalk; integrated memory circuits; statistical analysis; timing jitter; crosstalk; high-speed memory I/O interfaces; intersymbol interference; multiedge response method; power integrity simulation flow; random timing jitter; simultaneous switching events; simultaneous switching output noise; statistical link analysis; transient simulation methods; Bit error rate; Communication system signaling; Computational modeling; Crosstalk; Performance analysis; Phase noise; Power system modeling; System performance; Timing jitter; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Performance of Electronic Packaging, 2008 IEEE-EPEP
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-2873-1
Type
conf
DOI
10.1109/EPEP.2008.4675867
Filename
4675867
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