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Test costs for large industrial designs increase rapidly in recent years. On-chip test compression hardware has become a pragmatic technology to cut down the overall test costs by reducing test data volume. Determining the input and output channel counts of test compression hardware that results in minimum test data volume is thus a critical issue. In this paper, efficient methods to estimate test pattern counts for an extensive range of input/output counts are developed. These methods require only a small number of ATPG runs. The estimation results can then be utilized to determine the test data volume for each input/output configuration. The configuration with the estimated lowest test data volume thus can be determined. The pattern count results of each configuration for a design can also be used to determine the best suitable configuration when the design is to be embedded in an SoC system.

System-on-Chip (SoC) designs are increasingly difficult to test using traditional scan access methods without incurring inefficient test time, high planning effort, and physical design/timing closure challenges. The number of cores keeps growing while chip pin counts available for scan remain constant or decline, limiting the ability to drive cores concurrently. With increasingly commonplace tiling and abutment, the scan distribution hardware must be placed inside the cores, making balanced pipelining when broadcasting to identical cores difficult. optimizing test time requires analyzing all the cores and subsequently changing the test hardware in the cores. Internal shift speed constraints may limit the ability to shift data in and out of the chip at high rates. Differences in pattern counts or scan chain lengths between cores tested in parallel can result in padding and increased test time. SSN is a bus-based scan data distribution architecture designed to address all these challenges. It enables simultaneous testing of any number of cores even with few chip I/Os. It facilitates short test time by enabling high-speed data distribution, by efficiently handling imbalances between cores, and by supporting testing of any number of identical cores with a constant cost. It provides a plug-and-play interface in each core that is well suited for abutted tiles, and simplifies scan timing closure. This paper also compares the test cost and implementation productivity of SSN with those of Intel’s Structural Test Fabric.

As the complexity of industrial integrated circuits continue to increase rapidly, test data compression has now become a de facto technology for large designs to reduce the overall test cost. During the design for test (DFT) planning, it is critical to understand the impact of using different numbers of input/output test channels on test coverage, test cycles, and test data volume. In this paper, two approaches to predict the test pattern counts and test data volumes with different input channel counts are presented, one with the compression tool able to generate channel-scaling patterns and the other without this capability. The results can be used to determine the scan test configuration that results in the smallest or near smallest test data volume. Experiments on industrial circuits show that the average error rates of pattern count prediction for most circuits are less than 10% for both approaches. The error rates of the predicted smallest data volumes are all less than 3.5%. The total ATPG run time can be reduced by a factor of more than 10X compared to the currently used trial-and-error approach.

Over the past two decades, test data compression has become a de facto technology used in large industrial designs to reduce the overall test cost. During DFT planning, it is very important to understand the impact of using different numbers of input/output channels on test coverage, test cycles, and test data volume. In this paper, an efficient method to estimate the test data volume with different input channel counts using the Embedded Deterministic Test (EDT) compression technology is proposed. The results can then be used to quickly determine the scan configuration that results in the least or near least test data volume. With this method, the total ATPG run time can be reduced by a factor of more than 10X compared to the currently used trial-and-error method.

A novel method to efficiently and accurately prognosticate the pattern count at different input compression ratios with the Embedded Deterministic Test (EDT) compression technology is proposed. With this method the total ATPG run time can be significantly reduced compared to the currently used trial-and-error method.

This paper proposes an innovative design methodology for layout-friendly decompressor used in EDT compression architecture. A segmented decompressor architecture is proposed, in which each segment drives a subset of scan chains. The EDT input channel injectors are carefully selected to maximize the encoding capacity for all scan chains. Experimental results with several large industrial designs demonstrate that using the proposed technology, the routing congestion introduced by EDT decompressor is reduced significantly with negligible impact on test coverage and improved pattern count.

This paper introduces a novel test data compression scheme, which is primarily devised for low-power test applications. It is based on a fundamental observation that in addition to low test cube fill rates, a very few specified bits, necessary to detect a fault, are actually irreplaceable, whereas the remaining ones can be placed in alternative locations (scan cells). The former assignments are used to create residual test cubes and, subsequently, test templates. They control a power-aware decompressor and guide automatic test pattern generation to produce highly compressible test patterns through finding alternative assignments. The proposed approach reduces, in a user-controlled manner, scan shift-in switching rates with minimal hardware modifications. It also elevates compression ratios to values typically unachievable through conventional low-power reseeding-based solutions. Experimental results obtained for large industrial designs illustrate feasibility of the proposed test scheme and are reported herein.

This paper presents several techniques employed to resolve problems surfacing when applying scan bandwidth management to large industrial multicore system-on-chip (SoC) designs with embedded test data compression. These designs pose significant challenges to the channel management scheme, flow, and tools. This paper introduces several test logic architectures that facilitate preemptive test scheduling for SoC circuits with embedded deterministic test-based test data compression. The same solutions allow efficient handling of physical constraints in realistic applications. Finally, state-of-the-art SoC test scheduling algorithms are rearchitected accordingly by making provisions for: 1) setting up time-effective test configurations; 2) optimization of SoC pin partitions; 3) allocation of core-level channels based on scan data volume; and 4) more flexible core-wise usage of automatic test equipment channel resources. A detailed case study is illustrated herein with a variety of experiments allowing one to learn how to tradeoff different architectures and test-related factors.

This paper presents novel methods of reducing test time and enhancing test compression for system-on-chip (SoC) designs armed with embedded deterministic test (EDT)-based compression logic. The ability of the proposed scheme to improve the encoding efficiency and test compression, while reducing test application time, is accomplished by appropriate selecting and laying out automatic test equipment channel injectors of every single core EDT-based decompressor as well as appropriate bandwidth management of the entire test procedure combined with new control data optimization techniques. The efficacy of the proposed scheme is validated through experiments on several industrial SoC designs and is reported herein.

Modular test and hierarchical test of core-based System-on-Chip (SoC) are two widely used SoC test methodologies. In this paper, the hybrid test methodology that incorporates these two together is studied by using an industrial real case. Thorough experimental results are demonstrated to compare various scenarios of the hybrid hierarchical and modular tests for SoC designs. Based on the experimental results, using channel sharing based modular test technology at a group of cores combined with hierarchical test to map the patterns of core groups to the top level would result in the most efficient total test time.

This paper proposes an innovative test compression technology for system-on-chip (SoC) designs to share scan input channels across multiple cores which use EDT [1] compression. A new DFT compression architecture is proposed to separate control and data channels such that the control channels can be individually accessible, whereas data channels can be shared among a group of cores. The paper illustrates the benefits of the proposed technology in both the enhancement of compression ratios and the flexibility of test compression planning in a core-based SoC design flow. Experimental results with a few large industrial SoCs demonstrate that using the proposed technology the compression can be improved up to 1.87X.

This paper introduces a novel Test Access Mechanism (TAM) for chips with multiple isolated identical cores through which all the cores can be tested in parallel and at the same time accurate failure diagnosis can be achieved while requiring similar test resources (tester memory and tester channels) as for a single core. The proposed pipelined architecture relies on forming nonlinear equations on a very limited number of output pins that compress the outputs from the identical cores and solve them off-chip to reproduce the failure information of each core. A very nice feature of the proposed scheme is that the number of observation pins required to achieve a desirable level of diagnostic resolution does not scale with the number of identical cores and can practically be kept constant.

This paper presents a novel low capture power test scheme integrated with EDT (Embedded Deterministic Test) environment. The key contribution of this paper is to generate test vectors that in capture mode mimic functional operation from switching activity point of view. Experimental results presented for industrial circuits demonstrate the effectiveness of the proposed method.

This paper presents a novel method to generate test vectors that mimic functional operation from switching activity point of view. The method uses states obtained by applying a number of functional clock cycles starting from the scan-in state of a test vector to fill the unspecified scan cell values in test cubes. Experimental results presented for industrial circuits demonstrate the effectiveness of the proposed method.

Shrinking technology nodes offer higher levels of integration and better performance. However, they are accompanied by increased dynamic (switching) and static (leakage) power densities. As seen in previous chapters, a wide array of power management technologies is used to control dynamic and static power in integrated circuits. Those include clock gating and various types of power gating techniques. Power gating and multiple voltage supplies usually result in the use of special low-power cells such as state-retention registers, isolation cells, and level shifters. In addition to the challenges inherent in testing logic that can operate in multiple power modes, it is necessary to thoroughly test all the power management features including the clock gaters, power gaters (or switches), the logic that controls them, and the aforementioned low-power cells. Testing this logic will be presented in this chapter, as well as a method for validating the integrity of the power distribution networks.