Maximizing Crosstalk-Induced Slowdown During Path Delay Test

Capacitive crosstalk between adjacent signal wires in integrated circuits may lead to noise or a speedup or slowdown in signal transitions. These in turn may lead to circuit failure or reduced operating speed. This thesis focuses on generating test patterns to induce crosstalk-induced signal delays, in order to determine whether the circuit can still meet its timing specification. A timing-driven test generator is developed to sensitize multiple aligned aggressors coupled to a delay-sensitive victim path to detect the combination of a delay spot defect and crosstalk-induced slowdown. The framework uses parasitic capacitance information, timing windows and crosstalk-induced delay estimates to screen out unaligned or ineffective aggressors coupled to a victim path, speeding up crosstalk pattern generation. In order to induce maximum crosstalk slowdown along a path, aggressors are prioritized based on their potential delay increase and timing alignment. The test generation engine introduces the concept of alignment-driven path sensitization to generate paths from inputs to coupled aggressor nets that meet timing alignment and direction requirements. By using path delay information obtained from circuit preprocessing, preferred paths can be chosen during aggressor path propagation processes. As the test generator sensitizes aggressors in the presence of victim path necessary assignments, the search space is effectively reduced for aggressor path generation. This helps in reducing the test generation time for aligned aggressors. In addition, two new crosstalk-driven dynamic test compaction algorithms are developed to control the increase in test pattern count. The proposed test generation algorithm is applied to ISCAS85 and ISCAS89 benchmark circuits. SPICE simulation results demonstrate the ability of the alignment-driven test generator to increase crosstalk-induced delays along victim paths

Eliminating False Positives in Crosstalk Noise Analysis

Noise affects circuit operation by increasing gate delays and causing latches to capture incorrect values. Noise analysis techniques can detect some of such noise faults, but accurate analysis requires a careful examination of timing and functional properties of the circuit. This paper proposes a method to check the “true ” noise impact on path delay. It uses four-variable Boolean logic to characterize signal transitions in a time interval, and formulates Boolean satisfiability between aggressors and a victim under the min-max delay model for gates. The proposed technique is scalable as it keeps the size of Boolean formulation linear to the size of the modeled circuit. By applying it to a set of large circuits, it has eliminated up to 50 % of noise delay faults reported by conventional noise analysis method. 1

Crosstalk Noise Analysis for Nano-Meter VLSI Circuits.

Scaling of device dimensions into the nanometer process technology has led to a considerable reduction in the gate delays. However, interconnect delays have not scaled in proportion to gate delays, and global-interconnect delays account for a major portion of the total circuit delay. Also, due to process-technology scaling, the spacing between adjacent interconnect wires keeps shrinking, which leads to an increase in the amount of coupling capacitance between interconnect wires. Hence, coupling noise has become an important issue which must be modeled while performing timing verification for VLSI chips. As delay noise strongly depends on the skew between aggressor-victim input transitions, it is not possible to a priori identify the victim-input transition that results in the worst-case delay noise. This thesis presents an analytical result that would obviate the need to search for the worst-case victim-input transition and simplify the aggressor-victim alignment problem significantly. We also propose a heuristic approach to compute the worst-case aggressor alignment that maximizes the victim receiver-output arrival time with current-source driver models. We develop algorithms to compute the set of top-k aggressors in the circuit, which could be fixed to reduce the delay noise of the circuit. Process variations cause variability in the aggressor-victim alignment which leads to variability in the delay noise. This variability is modeled by deriving closed-form expressions of the mean, the standard deviation and the correlations of the delay-noise distribution. We also propose an approach to estimate the confidence bounds on the path delay-noise distribution. Finally, we show that the interconnect corners obtained without incorporating the effects of coupling noise could lead to significant errors, and propose an approach to compute the interconnect corners considering the impact of coupling noise.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/64663/1/gravkis_1.pd