High-Speed Signaling: Jitter Modeling, Analysis, and Budgeting

Author:   Kyung Suk (Dan) Oh ,  Xing Chao (Chuck) Yuan
Publisher:   Pearson Education (US)
ISBN:  

9780132826914


Pages:   528
Publication Date:   19 October 2011
Format:   Hardback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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High-Speed Signaling: Jitter Modeling, Analysis, and Budgeting


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Overview

New System-Level Techniques for Optimizing Signal/Power Integrity in High-Speed Interfaces--from Pioneering Innovators at Rambus, Stanford, Berkeley, and MIT As data communication rates accelerate well into the multi-gigahertz range, ensuring signal integrity both on- and off-chip has become crucial. Signal integrity can no longer be addressed solely through improvements in package or board-level design: Diverse engineering teams must work together closely from the earliest design stages to identify the best system-level solutions. In High-Speed Signaling, several of the field’s most respected practitioners and researchers introduce cutting-edge modeling, simulation, and optimization techniques for meeting this challenge.   Edited by pioneering experts Drs. Dan Oh and Chuck Yuan, these contributors explain why noise and jitter are no longer separable, demonstrate how to model their increasingly complex interactions, and thoroughly introduce a new simulation methodology for predicting link-level performance with unprecedented accuracy.   The authors address signal integrity from architecture through high-volume production, thoroughly discussing design, implementation, and verification. Coverage includes New advances in passive-channel modeling, power-supply noise and jitter modeling, and system margin prediction Methodologies for balancing system voltage and timing budgets to improve system robustness in high-volume manufacturing Practical, stable formulae for converting key network parameters Improved solutions for difficult problems in the broadband modeling of interconnects Equalization techniques for optimizing channel performance Important new insights into the relationships between jitter and clocking topologies New on-chip measurement techniques for in-situ link performance testing Trends and future directions in signal integrity engineering High-Speed Signaling thoroughly introduces new techniques pioneered at Rambus and other leading high-tech companies and universities: approaches that have never before been presented with this much practical detail. It will be invaluable to everyone concerned with signal integrity, including signal and power integrity engineers, high-speed I/O circuit designers, and system-level board design engineers.

Full Product Details

Author:   Kyung Suk (Dan) Oh ,  Xing Chao (Chuck) Yuan
Publisher:   Pearson Education (US)
Imprint:   Prentice Hall
Dimensions:   Width: 19.00cm , Height: 3.00cm , Length: 24.00cm
Weight:   0.981kg
ISBN:  

9780132826914


ISBN 10:   0132826917
Pages:   528
Publication Date:   19 October 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Preface     viii Chapter 1 Introduction     1 1.1 Signal Integrity Analysis Trends     4 1.2 Challenges of High-Speed Signal Integrity Design     8 1.3 Organization of This Book     9 References     11 Chapter 2 High-Speed Signaling Basics     13 2.1 I/O Signaling Basics and Components     13 2.2 Noise Sources     24 2.3 Jitter Basics and Decompositions     33 2.4 Summary     39 References     39 Part I Channel Modeling and Design     41 Chapter 3 Channel Modeling and Design Methodology     43 3.1 Channel Design Methodology     44 3.2 Channel Modeling Methodology     49 3.3 Modeling with Electromagnetic Field Solvers     52 3.4 Backplane Channel Modeling Example     54 3.5 Summary     63 References     64 Chapter 4 Network Parameters     65 4.1 Generalized Network Parameters for Multi-Conductor Systems     66 4.2 Preparing an Accurate S-Parameter Time-Domain Model     77 4.3 Passivity Conditions     85 4.4 Causality Conditions     89 4.5 Summary     98 References     101 Chapter 5 Transmission Lines     103 5.1 Transmission Line Theory     104 5.2 Forward and Backward Crosstalk    109 5.3 Time-Domain Simulation of Transmission Lines    115 5.4 Modeling Transmission Line from Measurements     121 5.5 On-Chip Wire Modeling    136 5.6 Comparison of On-Chip, Package, and PCB Traces     142 5.7 Summary     145 References     145 Part II Analyzing Link Performance    151 Chapter 6 Channel Voltage and Timing Budget    153 6.1 Timing Budget Equation and Components     155 6.2 Fibre Channel Dual-Dirac Model     156 6.3 Component-Level Timing Budget    160 6.4 Pitfalls of Timing Budget Equation     161 6.5 Voltage Budget Equations and Components    164 6.6 Summary     165 References     165 Chapter 7 Manufacturing Variation Modeling     167 7.1 Introduction to the Taguchi Method    168 7.2 DDR DRAM Command/Address Channel Example    179 7.3 Backplane Link Modeling Example    186 7.4 Summary     192 7.5 Appendix     193 References     196 Chapter 8 Link BER Modeling and Simulation    197 8.1 Historical Background and Chapter Organization    198 8.2 Statistical Link BER Modeling Framework    199 8.3 Intersymbol Interference Modeling     206 8.4 Transmitter and Receiver Jitter Modeling    210 8.5 Periodic Jitter Modeling     218 8.6 Summary    225 References    226 Chapter 9 Fast Time-Domain Channel Simulation Techniques     229 9.1 Fast Time-Domain Simulation Flow Overview     230 9.2 Fast System Simulation Techniques     232 9.3 Simultaneous Switching Noise Example     245 9.4 Comparison of Jitter Modeling Methods    246 9.5 Peak Distortion Analysis    248 9.6 Summary    253 References    253 Chapter 10 Clock Models in Link BER Analysis    257 10.1 Independent and Common Clock Jitter Models     258 10.2 Modeling Common Clocking Schemes     259 10.3 CDR Circuitry Modeling     268 10.4 Passive Channel JIF and Jitter Amplification     273 10.5 Summary     277 References     277 Part III Supply Noise and Jitter     279 Chapter 11 Overview of Power Integrity Engineering     281 11.1 PDN Design Goals and Supply Budget     282 11.2 Power Supply Budget Components     283 11.3 Deriving a Power Supply Budget     287 11.4 Supply Noise Analysis Methodology     290 11.5 Steps in Power Supply Noise Analysis     294 11.6 Summary     300 References     301 Chapter 12 SSN Modeling and Simulation     303 12.1 SSN Modeling Challenges     305 12.2 SI and PI Co-Simulation Methodology     310 12.3 Signal Current Loop and Supply Noise     321 12.4 Additional SSN Modeling Topics     325 12.5 Case Study: DDR2 SSN Analysis for Consumer Applications     330 12.6 Summary     336 References     337 Chapter 13 SSN Reduction Codes and Signaling     339 13.1 Data Bus Inversion Code     340 13.2 Pseudo Differential Signaling Based on 4b6b Code     346 13.3 Summary     357 References     357 Chapter 14 Supply Noise and Jitter Characterization     359 14.1 Importance of Supply Noise Induced Jitter     360 14.2 Overview of PSIJ Modeling Methodology     361 14.3 Noise and Jitter Simulation Methodology     364 14.4 Case Study     372 14.5 Summary     376 References     377 Chapter 15 Substrate Noise Induced Jitter     379 15.1 Introduction     380 15.2 Modeling Techniques     382 15.3 Measurement Techniques     391 15.4 Case Study     393 15.5 Summary     400 References     400 Part IV Advanced Topics     403 Chapter 16 On-Chip Link Measurement Techniques     405 16.1 Shmoo and BER Eye Diagram Measurements     407 16.2 Capturing Signal Waveforms     408 16.3 Link Performance Measurement and Correlation     411 16.4 On-Chip Supply Noise Measurement Techniques     412 16.5 Advanced Power Integrity Measurements     418 16.6 Summary     422 References     423 Chapter 17 Signal Conditioning     425 17.1 Single-Bit Response     426 17.2 Equalization Techniques     427 17.3 Equalization Adaptation Algorithms     433 17.4 CDR and Equalization Adaptation Interaction     442 17.5 ADC-Based Receive Equalization     445 17.6 Future of High-Speed Wireline Equalization     448 17.7 Summary     449 References     450 Chapter 18 Applications     455 18.1 XDR: High-Performance Differential Memory System     456 18.2 Mobile XDR: Low Power Differential Memory System     465 18.3 Main Memory Systems beyond DDR3     476 18.4 Future Signaling Systems     486 References     491 Index     495

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Author Information

Kyung Suk (Dan) Oh received the B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Illinois, Urbana-Champaign, in 1990, 1992, and 1995, respectively. His doctoral research was in the area of computational electromagnetics applied to transmission line modeling and simulation. He is a Senior Principal Engineer at Rambus Inc. He leads signal integrity analysis for various products including serial, parallel, and memory interfaces. He is also responsible for developing advanced signal and power integrity analysis tools. His current interests include advance signal and power integrity modeling and simulation techniques, optimization of channel designs for various standard or proprietary I/O links, and application of signaling techniques to high-speed digital links.      Dr. Oh has published more than 80 papers and holds 7 issued U.S. patents and 10 pending patent applications in areas of high-speed link design. He received two Best Paper Awards in DesignCon and 2008 Best Paper Award in the IEEE Advanced Packaging journal. Dr. Oh serves on the technical program committee of IEEE EPEPS, and is a former member of the IEC DesignCon Technical Program Committee.      Xingchao (Chuck) Yuan received his B.S. degree in Electronic Engineering from Nanjing Institute of Technology (now Southeast University), Nanjing, China, in 1982. He received both his M.S. and Ph.D. degrees in Electrical Engineering from Syracuse University, Syracuse, New York, in 1983 and 1987, respectively. After receiving his Ph.D., Dr. Yuan was at the Thayer School of Engineering at Dartmouth College; first as a Postdoctoral fellow, and later as a Research Assistant Professor from 1987 to 1990.      From 1990 to 1995, Dr. Yuan was employed by Ansoft Corp., where he led the development of Ansoft’s flagship product HFSSTM (High Frequency Structure Simulator). His work led to three different product releases, which included features such as modeling conductor and dielectric loss, radiation and periodic boundary conditions for modeling antennas, and electromagnetic scattering/interference problems. He pioneered a fast frequency sweep method that combined a finite element method and an asymptotic waveform evaluation method. This led to a dramatic speed improvement in the speed of 3D full-wave modeling. From 1995 to 1998, Dr. Yuan was with Cadence Corp. where he led the research and development of the signal integrity and EMI tools. His work focused on modeling SSO noise and induced electromagnetic interference, which led to some of the earliest research in power plane modeling.      Since 1998, Dr. Yuan has been with Rambus Inc, Sunnyvale, California, as a director of signal integrity engineering. Dr Yuan is responsible for designing, modeling, and implementing Rambus multi-gigahertz signaling technologies using conventional interconnect technologies. His technical and managerial leadership at Rambus has led to an industry-recognized signal and power integrity team of experts. Rambus’ SI/PI papers are closely followed by the rest of the industry, and represent the latest developments in high-performance signal and power integrity modeling and design. Dr. Yuan’s team was among the first to apply BER and statistical methodology to memory interface designs, and to explore the relationship between the supply noise spectrum and the jitter spectrum. His team’s work led to the successful development of Rambus’ XDR memory architecture, which was adopted by PlayStation 3, DLP projectors, and DTVs. Since 2009, Dr. Yuan has served as an engineering director in charge of a silicon team with dozens of engineers (in both the U.S. and India) who are responsible for designing next-generation Rambus graphics and main memory interfaces. In 2010, the team taped out a multi-modal PHY that explores the limits of single-ended signaling beyond 12.8Gbps, a power efficient differential interface at 20Gbps, and backward compatibility with existing memory interfaces (including GDDR5 and DDR3).      Dr. Yuan has authored more than 100 papers in technical journals and conferences and holds 8 issued U.S. patents. He is a senior member of IEEE, and served on the technical program committee of IEEE EPEPS from 2008 to 2009.

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