Optimizing logical, physical, electrical, and manufacturing effects, Cadence digital implementation technology eliminates iteration without  sacrificing design quality by addressing timing sensitivity, yield  variation, and leakage power from the start. 

Trends in Digital Design (28nm Design)
Wei Lii Tan, Sr. Product Marketing Manager 
Find  out what’s needed to be ready for 28nm design – process variation,  power-performance-area optimization, DFM considerations, and more.                 
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Trends in Digital Design (ECOs)
                                         Kenneth Chang, Sr. Product Marketing Manager
Find  out what’s needed to handle the increasing complexity of ECOs and their  impact on schedule. Leverage a front-to-back automated ECO flow that  can help you achieve a 3x gain in productivity and a much faster path to  design tapeout.
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Digital Design Technologies
David Stratman, Sr. Product Marketing Manager
Highlights  of new physically-aware technologies including physical synthesis and  test; new constraint design capabilities including clock-domain-crossing  (CDC) checks, low-power ATPG, and precision diagnostics flows; and  low-power interoperability support.                 
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Digital Implementation Technologies                                          
Wei Lii Tan, Sr. Product Marketing Manager
Highlights  of new digital implementation technologies including design exploration  with automatic macro-placement and flexible models; post-assembly  closure for hierarchical implementation; new and improved optimization  and clock-tree synthesis (CTS) during block implementation; and the  latest mixed-signal capabilities across digital and custom design  environments.                 
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Digital Signoff Technologies 
                                         Hitendra Divecha, Sr. Product Marketing Manager
Highlights  of standalone and qualified in-design signoff engines for parasitic  extraction, physical verification, timing, power-rail integrity  analysis, litho hotspot analysis, and chemical-mechanical polishing  (CMP) analysis.
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