ACCESS

Self-awareness allows autonomous systems the dynamic adaptation to changing states of the hardware platform and the optimal usage of available computing resources. This demands concurrent, periodical, or on-demand monitoring and testing of the hardware structures to detect and classify deviations from the nominal behavior and appropriate reactions. This survey discusses suitable self-test, self-checking, and self-diagnosis methods for the realization of self-awareness and presents two case studies in which such methods are applied at different levels.

Design, production and operation of modern system-on-chips rely on integrated instruments, which range from simple sensors to complex debug interfaces and design-for-test (DfT) structures. Reconfigurable scan networks (RSNs) as defined in IEEE Std. 1687-2014 provide an efficient access mechanism to such instruments. It is essential to test the access mechanism itself before it can be used for test, diagnosis, validation, calibration or runtime monitoring. Realistic fault mechanisms in RSNs are hard to test due to their high sequential depth and limited controllability and observability via serial scan ports. We present a novel low-cost DfT modification specifically designed for RSNs that enhances the observability of shadow registers. Furthermore, we present different test methods for stuck-at and more realistic gate-level fault models like flip-flop- internal and bridge faults. Experimental results demonstrate the effectiveness of the presented DfT modification and test methods.

Self-awareness allows autonomous systems the dynamic adaptation to changing states of the hardware platform and the optimal usage of available computing resources. This demands concurrent, periodical, or on-demand monitoring and testing of the hardware structures to detect and classify deviations from the nominal behavior and appropriate reactions. This survey discusses suitable self-test, self-checking, and self-diagnosis methods for the realization of self-awareness and presents two case studies in which such methods are applied at different levels.

Design, production and operation of modern system-on-chips rely on integrated instruments, which range from simple sensors to complex debug interfaces and design-for-test (DfT) structures. Reconfigurable scan networks (RSNs) as defined in IEEE Std. 1687-2014 provide an efficient access mechanism to such instruments. It is essential to test the access mechanism itself before it can be used for test, diagnosis, validation, calibration or runtime monitoring. Realistic fault mechanisms in RSNs are hard to test due to their high sequential depth and limited controllability and observability via serial scan ports. We present a novel low-cost DfT modification specifically designed for RSNs that enhances the observability of shadow registers. Furthermore, we present different test methods for stuck-at and more realistic gate-level fault models like flip-flop- internal and bridge faults. Experimental results demonstrate the effectiveness of the presented DfT modification and test methods.

On-chip infrastructure is an essential part of today’s complex designs and enables their cost-efficient manufacturing and operation. The diversity and high number of infrastructure elements demands flexible and low-latency access mechanisms, such as reconfigurable scan networks (RSNs). The correct operation of the infrastructure access itself is highly important for the test of the system logic, its diagnosis, debug and bring-up, as well as post-silicon validation. Ensuring correct operation requires the thorough testing of the RSN. Because of sequential and combinational dependencies in RSN accesses, test generation for general RSNs is computationally very difficult and requires dedicated test strategies. This paper explores different test strategies for general RSNs and discusses the achieved structural fault coverage. Experimental results show that the combination of functional test heuristics together with a dedicated RSN test pattern generation approach significantly outperforms the test quality of a standard ATPG tool.

IEEE Std. 1687, or IJTAG, defines flexible serial scan-based architectures for accessing embedded instruments efficiently. In this paper, we present a novel test architecture that employs IEEE Std. 1687 together with an efficient test controller to carry out 3D-IC testing autonomously. The test controller can deliver parallel test data for the IEEE Std. 1687 structures and the cores under test, and provide required control signals to control the whole test procedure. This design can achieve at-speed, autonomous and programmable testing in 3D-ICs. Experimental results show that the additional area and test cycle overhead of this architecture is small considering its autonomous test capability.

Unknown (X) values in a design introduce pessimism in conventional test generation algorithms which results in a loss of fault coverage. This pessimism is reduced by a more accurate modeling and analysis. Unfortunately, accurate analysis techniques highly increase runtime and limit scalability. One promising technique to prevent high runtimes while still providing high accuracy is the use of restricted symbolic logic (RSL). However, also pure RSL-based algorithms reach their limits as soon as millon gate circuits need to be processed. In this paper, we propose new ATPG techniques to overcome such limitations. An efficient hybrid encoding combines the accuracy of RSL-based modeling with the compactness of conventional threevalued encoding. A low-cost two-valued SAT-based untestability check is able to classify most untestable faults with low runtime. An incremental and event-based accurate fault simulator is introduced to reduce fault simulation effort. The experiments demonstrate the effectiveness of the proposed techniques. Over 97% of the faults are accurately classified. Both the number of aborts and the total runtime are significantly reduced compared to the state-of-the-art pure RSL-based algorithm. For circuits up to a million gates, the fault coverage could be increased considerably compared to a state-of-the-art commercial tool with very competitive runtimes.

On-chip infrastructure is an essential part of today’s complex designs and enables their cost-efficient manufacturing and operation. The diversity and high number of infrastructure elements demands flexible and low-latency access mechanisms, such as reconfigurable scan networks (RSNs). The correct operation of the infrastructure access itself is highly important for the test of the system logic, its diagnosis, debug and bring-up, as well as post-silicon validation. Ensuring correct operation requires the thorough testing of the RSN. Because of sequential and combinational dependencies in RSN accesses, test generation for general RSNs is computationally very difficult and requires dedicated test strategies. This paper explores different test strategies for general RSNs and discusses the achieved structural fault coverage. Experimental results show that the combination of functional test heuristics together with a dedicated RSN test pattern generation approach significantly outperforms the test quality of a standard ATPG tool.

IEEE Std. 1687, or IJTAG, defines flexible serial scan-based architectures for accessing embedded instruments efficiently. In this paper, we present a novel test architecture that employs IEEE Std. 1687 together with an efficient test controller to carry out 3D-IC testing autonomously. The test controller can deliver parallel test data for the IEEE Std. 1687 structures and the cores under test, and provide required control signals to control the whole test procedure. This design can achieve at-speed, autonomous and programmable testing in 3D-ICs. Experimental results show that the additional area and test cycle overhead of this architecture is small considering its autonomous test capability.

Unknown (X) values in a design introduce pessimism in conventional test generation algorithms which results in a loss of fault coverage. This pessimism is reduced by a more accurate modeling and analysis. Unfortunately, accurate analysis techniques highly increase runtime and limit scalability. One promising technique to prevent high runtimes while still providing high accuracy is the use of restricted symbolic logic (RSL). However, also pure RSL-based algorithms reach their limits as soon as millon gate circuits need to be processed. In this paper, we propose new ATPG techniques to overcome such limitations. An efficient hybrid encoding combines the accuracy of RSL-based modeling with the compactness of conventional threevalued encoding. A low-cost two-valued SAT-based untestability check is able to classify most untestable faults with low runtime. An incremental and event-based accurate fault simulator is introduced to reduce fault simulation effort. The experiments demonstrate the effectiveness of the proposed techniques. Over 97% of the faults are accurately classified. Both the number of aborts and the total runtime are significantly reduced compared to the state-of-the-art pure RSL-based algorithm. For circuits up to a million gates, the fault coverage could be increased considerably compared to a state-of-the-art commercial tool with very competitive runtimes.

Efficient access to on-chip instrumentation is a key requirement for post-silicon validation, test, debug, bringup, and diagnosis. Reconfigurable scan networks, as proposed by e.g. IEEE P1687 and IEEE Std 1149.1-2013, emerge as an effective and affordable means to cope with the increasing complexity of on-chip infrastructure. Reconfigurable scan networks are often hierarchical and may have complex structural and functional dependencies. Common approaches for scan verification based on static structural analysis and functional simulation are not sufficient to ensure correct operation of these types of architectures. To access an instrument in a reconfigurable scan network, a scan-in bit sequence must be generated according to the current state and structure of the network. Due to sequential and combinational dependencies, the access pattern generation process (pattern retargeting) poses a complex decision and optimization problem. This article presents the first generalized formal model that considers structural and functional dependencies of reconfigurable scan networks and is directly applicable to P1687-based and 1149.1-2013-based scan architectures. This model enables efficient formal verification of complex scan networks, as well as automatic generation of access patterns. The proposed pattern generation method supports concurrent access to multiple target scan registers (access merging) and generates short scan-in sequences.

Unknown (X) values emerge during the design process as well as during system operation and test application. X-sources are for instance black boxes in design models, clockdomain boundaries, analog-to-digital converters, or uncontrolled or uninitialized sequential elements. To compute a test pattern for a given fault, well-defined logic values are required both for fault activation and propagation to observing outputs. In presence of X-values, conventional test generation algorithms, based on structural algorithms, Boolean satisfiability (SAT), or BDD-based reasoning may fail to generate test patterns or to prove faults untestable. This work proposes the first efficient stuck-at and transitiondelay fault test generation algorithm able to prove testability or untestability of faults in presence of X-values. It overcomes the principal pessimism of conventional algorithms when X-values are considered by mapping the test generation problem to the satisfiability of Quantified Boolean Formulae (QBF). Experiments on ISCAS benchmarks and larger industrial circuits investigate the increase in fault coverage for conventional deterministic and potential detection requirements for both randomized and clustered X-sources.

Efficient access to on-chip instrumentation is a key requirement for post-silicon validation, test, debug, bringup, and diagnosis. Reconfigurable scan networks, as proposed by e.g. IEEE P1687 and IEEE Std 1149.1-2013, emerge as an effective and affordable means to cope with the increasing complexity of on-chip infrastructure. Reconfigurable scan networks are often hierarchical and may have complex structural and functional dependencies. Common approaches for scan verification based on static structural analysis and functional simulation are not sufficient to ensure correct operation of these types of architectures. To access an instrument in a reconfigurable scan network, a scan-in bit sequence must be generated according to the current state and structure of the network. Due to sequential and combinational dependencies, the access pattern generation process (pattern retargeting) poses a complex decision and optimization problem. This article presents the first generalized formal model that considers structural and functional dependencies of reconfigurable scan networks and is directly applicable to P1687-based and 1149.1-2013-based scan architectures. This model enables efficient formal verification of complex scan networks, as well as automatic generation of access patterns. The proposed pattern generation method supports concurrent access to multiple target scan registers (access merging) and generates short scan-in sequences.

Unknown (X) values emerge during the design process as well as during system operation and test application. X-sources are for instance black boxes in design models, clockdomain boundaries, analog-to-digital converters, or uncontrolled or uninitialized sequential elements. To compute a test pattern for a given fault, well-defined logic values are required both for fault activation and propagation to observing outputs. In presence of X-values, conventional test generation algorithms, based on structural algorithms, Boolean satisfiability (SAT), or BDD-based reasoning may fail to generate test patterns or to prove faults untestable. This work proposes the first efficient stuck-at and transitiondelay fault test generation algorithm able to prove testability or untestability of faults in presence of X-values. It overcomes the principal pessimism of conventional algorithms when X-values are considered by mapping the test generation problem to the satisfiability of Quantified Boolean Formulae (QBF). Experiments on ISCAS benchmarks and larger industrial circuits investigate the increase in fault coverage for conventional deterministic and potential detection requirements for both randomized and clustered X-sources.