Solido Design Automation Inc.

Samer Sallam

Joel Cooper

Jeffrey Dyck

Trent Lorne McConaghy

Kristopher Breen

David Callele

Shawn Rusaw

Jiandong Ge

Anthony Arkles

Patrick Drennan

Charles Cazabon

Jason Coutu

Amit Gupta

Sean Cocks

Trent Lome McConaghy

Ryan Silk

Pat Drennan

Jiangdon Ge

A system and method to analyze analog, mixed-signal, and custom digital circuits. The system and method displays to a user characteristic values of a circuit and statistical uncertainty values of the characteristic values early in a sampling or characterization run of the circuit. The characteristic values and their statistical uncertainties are updated as the sampling or characterization run progresses. The user can halt the sampling or characterization run once a desired level of uncertainty is attained. The system can automatically halt the sampling or characterization run, once the statistical uncertainty lie within a pre-determined range.

On-the-fly improvement of certainty of statistical estimates in statistical design, with corresponding visual feedback

A method for proximity-aware circuit design where a set of layout constraint values that satisfy predetermined performance or yield goals is determined in accordance with a layout effect model. One of the layout constraint values is then selected as a constraint input to layout design, and a design layout is performed with the selected layout constraint value to provide a semiconductor circuit design for the semiconductor circuit. The set of layout constraint values can be determined by varying an instance parameter of the layout effect model to determine a set of instance parameters that satisfy the at least one predetermined performance or yield goal in accordance with the layout effect model, and determining layout constraints associated with each instance parameter of the set of instance parameters, thus providing a number of candidates in a design space that can be evaluated according to performance and/or yield tradeoffs.

Method and system for proximity-aware circuit design

For application to analog, mixed-signal, and custom digital circuits, a system and method to begin with a complex problem description that encompasses many variables from statistical manufacturing, the circuit's environment, and the circuit's design parameters, but then apply techniques to prune the scope of the problem to make it manageable for manual design and more efficient automated design, and finally use that pruned problem for more efficient and effective design.

Pruning-based variation-aware design

For application to analog, mixed-signal, and custom digital circuits, a system and method to do: global statistical optimization (GSO), global statistical characterization (GSC), global statistical design (GSD), and block-specific design. GSO can perform global yield optimization on hundreds of variables, with no simplifying assumptions. GSC can capture and display mappings from design variables to performance, across the whole design space. GSC can handle hundreds of design variables in a reasonable time frame, e.g., in less than a day, for a reasonable number of simulations, e.g., less than 100,000. GSC can capture design variable interactions and other possible nonlinearities, explicitly capture uncertainties, and intuitively display them. GSD can support the user's exploration of design-to-performance mappings with fast feedback, thoroughly capturing design variable interactions in the whole space, and allow for more efficiently created, more optimal designs. Block-specific design should make it simple to design small circuit blocks, in less time and with lower overhead than optimization through optimization.

Global statistical optimization, characterization, and design

Growing community of inventors

Saskatoon, Canada

Samer Sallam