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ICDFN, Hangzhou, 8/16/06. Design for Manufacturability with Deep Subwavelength Lithography. David Z. Pan Dept. of Electrical and Computer Engineering University of Texas at Austin http://www.cerc.utexas.edu/utda. CMOS & Nanotechnology. Nanoscale CMOS is nano-technology (and a real one)
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ICDFN, Hangzhou, 8/16/06 Design for Manufacturability with Deep Subwavelength Lithography David Z. Pan Dept. of Electrical and Computer Engineering University of Texas at Austin http://www.cerc.utexas.edu/utda
CMOS & Nanotechnology • Nanoscale CMOS is nano-technology (and a real one) • Heavy research on “nano” alternatives, but will it replace CMOS, ever? [Prof. Hu’s talk yesterday, “Post-CMOS?”] • [ITRS’05]: scaling as usual for another 10-15 years • [Borkar, DAC’06]: nothing to replace CMOS in the next 15 years • Hybrid CMOS/beyond-CMOS • Historical projection [Prof. T.P. Ma, Yale Univ., EITC’06] • Stone age: 5000 years • Bronze age: 2500 years • Iron age: 1500 years • Silicon age [1947-]: 1000 years! • My 2 cents: End of CMOS scaling != End of silicon age or semiconductor industry (innovations from all aspects)
Yield Loss Projection Scary [Courtesy IBS]
Immersion Lithography Basics Illumination Wavelength λ Optical Mask Optical system Wafer (photoresist, etching…)
68nm Add scatter bars better OAI 6% Att-PSM Add biasing OAI “Full” OPC WYS != WYG 227nm @ 0.85NA 136nm 114nm 91nm 68nm The RET solutions…. (Source: ASML)
Challenges are REAL • 193nm lithography will continue as the main chip manufacturing workhorse for at least 5-7 years (thanks to RET and immersion litho…) • 45nm and even 32nm nodes • IBM news (02/06) of 29.9nm pattern • Nanolithography still many challenges • EUVL, E-Beam, nano-imprint… • Live in deep sub-wavelength era • On top of DSM challenges • Has to be considered altogether • Other DFM effects: CMP, VIA failure, …
Call for True DFM • Current “DFM” still mostly post-D(esign): data prep • Often too late to fix all the problems • Little flexibility • Not much design-intent contained • No global picture and tradeoff with other objectives • True DFM: model/predict downstream MFG/Litho effects into analysis and optimization • The root cause of litho-induced layout-dependent variations • Improve yield (both functional and parametric), with less cost, faster time to market…
Overall Objective/Highlights • We aim at holistic modeling, characterization, and optimization of systematic and layout-dependent variations • Bottom-up framework to tackle the heart of DFM • Variational lithography modeling to predict layout-dependent CD variations [DAC’05, DAC’06] • Non-rectangular gate characterizations [ICCAD’06] • Statistical/static timing/power analysis [ICCAD’06] • Lithography/CMP aware physical design [DAC’05], [DAC’06], [ICCAD’06] • Variation-tolerant design [ICCAD’05], [ISPD05/06]…
Overall Objective/Highlights • We aim at holistic modeling, characterization, and optimization of systematic and layout-dependent variations • Bottom-up framework to tackle the heart of DFM • Variational lithography modeling to predict layout-dependent CD variations [DAC’05, DAC’06] • Non-rectangular gate characterizations [ICCAD’06] • Statistical/static timing/power analysis [ICCAD’06] • Lithography/CMP aware physical design [DAC’05], [DAC’06], [ICCAD’06] • Variation-tolerant design [ICCAD’05], [ISPD05/06]…
Lithography Modeling • Fast yet high-fidelity lithography modeling essential • Our approach: design-oriented (vs. process-oriented) [Mitra et al, DAC’05] • Process variations will affect printed image • Dosage, focus, mask, … • Variational lithography modeling [Yu et al., DAC’06] • Our approach: variational kernel decomposition with moment expansion (vs. process window sampling)
Model Validation • Validated with PROLITH (orders of 106 faster) Our simulator PROLITH
RADAR: RET-Aware Detailed Routing [Mitra et al, DAC’05] • Raise lithography modeling up to design implementation level • Model-based vs. rule-based • Conventional approaches to “separate” design from manufacturing – RULES • Rules are starting running out of steam from 65nm • Exploding number of rules • VERY complicated rules (have you seen a Law book?) • Not accurate any more… • Use our design-oriented lithography simulation to generate litho-hotspots and guide routing
Lithography-aware Routing on a 65nm Industry Design Initial routing (after design closure) 40% litho hotspot reduction
Non-Rectangular Gates • Gate shapes are not rectangular any more • Printability limitation due to litho (WYS != WYG) • Process Variations: dose, defocus, etching… • Non-rectangular channel… • Geometry => electrical characterization • Timing/leakage may be affected significantly [Yang et al, DAC’05]
L W (a) (b) Previous Works • Gate slicing • Equivalent gate length (EGL) • Two EGLs, for ON (timing) and OFF (leakage) • However, EGL-based model has fundamental limitation for coherent timing/power analysis • Hard to pick the right EGL a prioriduring circuit simulation • Certain level of non-rectangularity already considered during model parameter extraction (e.g., BSIM) but not considered by EGL
Our Unified Current-Based Model[Shi et al, ICCAD’06] • Each device is attached with an artificial modeling card • Input: post-litho gate contour and Vd, Vg, Vs • Output: Id, Is modification • Slicing & pre-characterization of I-V curves • Generic current model (hybrid table + analytical) • Impact of process variationcan be simulated accurately • Unified model for timing/leakage • Can incorporate other effects (e.g., parameter extraction of non-rectangular gates)
Simulation Results Inverter Delay Comparison Static Power Dissipation
Other DFM Issues • Lithography interact with CMP • CMP => defocus • CMP-Aware Routing [ICCAD’06] • Density-driven with predictive CMP model • Enhance the state-of-the-art BoxRouter [DAC’06 BPA candidate] • 7.5-10% reduction in thickness var. • 7-10% improvement in timing • DFM in context of DSM (timing, power/leakage, reliability…)
Process Technology Design Technology Conclusion • Holistic nanometer design + manufacturing closure • Much more closer collaborations to break the red-brick wall • Between different “camps”: designer, CAD, process • Between academia and industry • CMOS and beyond CMOS
Silicon Age - 1000 years to go
Acknowledgment • Support from SRC, IBM, Fujitsu, Sun, Intel, KLA-Tencor and Sigma-C • Graduate students at UTDA: Minsik Cho, Joydeep Mitra, Anand Ramalingam, Sean Shi, Gang Xu, Peng Yu • Collaboration/discussion with Dr. Chris Mack and Dr. Warren Grobman