Delivers 2.5D and 3D full-chip parasitic extraction and analysis


Key Benefits 

  •  Massively parallel architecture that delivers up to 5X faster signoff extraction
     for all designs

  •  Fully certified down to 10nm process at TSMC and ready for 7nm designs, as well
     as all other leading foundries

  •  Supports better, faster design correlation and convergence, and in-design signoff
     methodology

  •  Fastest post-layout simulation and characterization runtimes, ~2.5X better than
     competitive products

  •  Comprehensive, accurate and trusted EMIR solution with Cadence Voltus™-Fi Custom
     Power Integrity Solution for all FinFET designs
  

Cadence® Quantus™ QRC Extraction Solution is the industry’s most trusted signoff parasitic extraction
tool. It’s an integral component of our in-design methodology with both Innovus™ Implementation
System and Virtuoso® platforms. Quantus QRC Extraction Solution is built on massively parallel
technology and includes an integrated, foundry-certified field solver (Quantus FS). As a result the
solution delivers up to 5X faster signoff extraction and silicon-proven accuracy for system-on-chip
(SoC), custom-digital, standard-cell, IP, SRAM/bitcell, memory-IC, and custom-analog designs. As a
single, unified tool, Quantus QRC Extraction Solution supports both cell-level and transistor-level
extractions during design implementation and signoff.

As advanced process geometries continue to shrink, parasitic extraction becomes a necessity
throughout the design implementation flow and the validation phase. Quantus QRC Extraction
Solution supports all designs down to 10nm and early 7nm design starts. For FinFET designs new
modeling challenges emerge. For example, the introduction of FinFET 3D device structures bring
more complex parameters for parasitic capacitance and resistance. These new challenges require the
highest level of accuracy in signoff extraction. Quantus QRC Extraction Solution addresses these
challenges with its robust modeling infrastructure, which delivers the highest accuracy models and
produces the smallest netlist to enable faster simulation and characterization runtimes.