ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
Efficient use of large don't cares in high-level and logic synthesis
ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
A hybrid verification approach: getting deep into the design
Proceedings of the 39th annual Design Automation Conference
Scalable Hardware Verification with Symbolic Simulation
Scalable Hardware Verification with Symbolic Simulation
Industrial Strength SAT-based Alignability Algorithm for Hardware Equivalence Verification
FMCAD '07 Proceedings of the Formal Methods in Computer Aided Design
The coming of age of (academic) global routing
Proceedings of the 2008 international symposium on Physical design
Ad-Hoc Translations to Close Verilog Semantics Gap
DDECS '08 Proceedings of the 2008 11th IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems
Bridging RTL and gate: correlating different levels of abstraction for design debugging
HLDVT '07 Proceedings of the 2007 IEEE International High Level Design Validation and Test Workshop
Proceedings of the 46th Annual Design Automation Conference
Improving gate-level simulation accuracy when unknowns exist
Proceedings of the 49th Annual Design Automation Conference
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Due to increases in design complexity, routing a reset signal to all registers is becoming more difficult. One way to solve this problem is to reset only certain registers and rely on a software initialization sequence to reset other registers. This approach, however, may allow unknown values (also called X-values) in uninitialized registers to leak to other registers, leaving the design in a nondeterministic state. Although logic simulation can find some X-problems, it is not accurate and may miss bugs. A recent approach based on symbolic simulation can handle Xs accurately; however, it is not scalable. In this work we analyze the characteristics of X-problems and propose a methodology that leverages the accuracy of formal X-analysis and can scale to large designs. This is achieved by our novel partitioning techniques and the intelligent use of waveforms as stimulus. We applied our methodology to an industrial design and successfully identified several Xs unknown to the designers, including three real bugs, demonstrating the effectiveness of our approach.