Bitmapping based on memory built-in self-test is the most efficient method to locate embedded memory defects in system-on-chips. Although this is the preferred approach to memory yield improvement, the procedure to enable bitmapping can be both time and resource-consuming. Therefore, it is not supported on chips that are not produced in high volume due to the low return on investment. EeLADA was explored as an alternative. Although its feasibility has been proven in a previous report, the localization capability or diagnostic resolution is limited to at best failing bit-lines. This work enhances this technique to achieve a resolution down to bit-cell level with an accuracy of less than 5 µm.

Photon Emission Microscopy is the most widely used mainstream defect isolation technique in failure analysis labs. It is easy to perform and has a fast turnaround time for results. However, interpreting a photon emission micrograph to postulate the suspected defect site accurately is challenging when there are multiple abnormal hotspots and driving nets involved. This is commonly encountered in dynamic emission micrographs that are caused by open defects in digital logic. This paper presents a methodology incorporating layout-aware trace analysis and post schematic extraction with test bench analysis to enhance the diagnostic resolution on the suspected defective net(s).

Most modern system on-chip incorporates a significant amount of embedded memories to achieve a reduced power consumption, higher speed and lower cost. In general, such memories are evaluated using built-in self-testing methods and in the event of a failure, bitmapping is heavily relied on for fault localization to guide subsequent failure analysis. However, a fast yield ramp can be impeded when bitmapping is not enabled in time or is inaccurate. This work studies the feasibility of employing electrically-enhanced LADA as an alternative method to debug embedded memory failures. Results are presented to demonstrate that the resolution of localization depends on the precision of diagnostic test pattern used and the laser spot size.

In a failure event, circuit schematic analysis usually follows after fault isolation to increase the success rate. However, analyzing an extracted netlist of the isolated sub-circuit can be messy. Manual circuit translation from layout where the analyst is in control of the cell instance placement is one way to overcome this challenge. Although it is neater and intuitive for analysis, it can be time consuming to create the schematic. To analyze circuits in a systematic manner, cross-mapping between layout and schematic contents is the most commonly recognized approach. However, at times, cross-mapping alone is insufficient and some further simplification procedures are favorable. This paper describes the challenges and illustrates using real case studies, how schematics re-ordering and substitutions can be useful to simplify and enhance circuit analysis. These procedures can be implemented in an automated manner to enhance turnaround time for analysis.

This paper proves the effects of laser pulse width on the lowering of LADA and SEU threshold laser energy. The soft failure rate is found to increase with reducing pulse widths from 100 μs to 2 μs. The results obtained suggest that pulsed-LADA for soft defect characterization and localization could offer notably improved SNR and turnaround time. This is because it is no longer critical to assign the test point close to the shmoo boundary which is well known to give rise to spurious signals. With a less noisy signal image, the overall debug cycle time can be shortened since multiple frames average is not required. Further driven by the motivation to seek a viable alternative to overcome the challenge of weak LADA signals due to poor transmittance of 1064 nm wavelength laser through full wafer thickness and a solid immersion lens, preliminary results based on 1122 nm wavelength laser is also presented. It is observed that though the OBIC quantum efficiency at 1122 nm is 80% lower than at 1064 nm, it is 25% higher when a solid immersion lens is used.

EeLADA has been introduced previously as a prospective alternative approach to DFT scan diagnosis for scan logic defect localization. It has the capability to reveal induced signals from laser stimulation that are relevant to the failure signature by comparing failing pins and cycles of the bad device. Multiple schemes involving different combinations for comparison are possible. Defect simulations based on cell fault injections on a multi-level logic of a real digital device circuit characterizes the different comparison schemes. The findings are used to devise an optimized methodology to determine suspected fail locations to guide physical failure analysis to reveal the defect. A successful case study substantiates the method.

Unlike photon emission microscopy which is usually the first go-to technique in tester-based or dynamic electrical fault localization, infrared thermal microscopy does not play a similar routine role despite its comparable ease in application. While thermal emission lacks in optical resolution, we demonstrate superior sensitivity and accuracy over photon emission on dynamic fault localization of backend-of-line short defects.

A phase-locked loop (PLL) is commonly used in integrated circuit devices for frequency control. In a finished product, it comprises of sub-building blocks operating in a closed-loop control system which do not have register readback or test access points for easy debugging. Failure analysis becomes a challenge. This paper demonstrates the inherent limitation of relying only on dynamic fault isolation techniques, in specific frequency mapping for PLL failure debug. A systematic debug approach that combines volume failure characterization on test, additional characterization using dynamic photon emission and design simulation is then presented. Results are obtained on a 28 nm node device.