Abstract-A key design constraint of circuits used in handheld devices is the power consumption, mainly due to battery life limitations. Adaptive power management (APM) techniques aim to increase the battery life of such devices by adjusting the supply voltage and operating frequency, and thus the power consumption, according to the workload. Testing for resistive bridging defects in APM-enabled designs raises a number of challenges due to their complex analog behavior. Testing at more than one supply voltage setting can be employed to improve defect coverage in such systems, however, switching between several supply voltage settings has a detrimental impact on the overall cost of test. This paper proposes a multi-Vdd automatic test generation method which delivers 100% resistive bridging defect coverage and also a way of reducing the number of supply voltage settings required during test through test point insertion. The proposed techniques have been experimentally validated using a number of benchmark circuits.
Abstract-Recently the trade-off between energy consumption and fault-tolerance in real-time systems has been highlighted. These works have focused on dynamic voltage scaling (DVS) to reduce dynamic energy dissipation and on time redundancy to achieve transient-fault tolerance. While the time redundancy technique exploits the available slack time to increase the faulttolerance by performing recovery executions, DVS exploits slack time to save energy. Therefore we believe there is a resource conflict between the time-redundancy technique and DVS. The first aim of this paper is to propose the usage of information redundancy to solve this problem. We demonstrate through analytical and experimental studies that it is possible to achieve both higher transient fault-tolerance (tolerance to single event upsets (SEU)) and less energy using a combination of information and time redundancy when compared with using time redundancy alone. The second aim of this paper is to analyze the interplay of transient-fault tolerance (SEU-tolerance) and adaptive body biasing (ABB) used to reduce static leakage energy, which has not been addressed in previous studies. We show that the same technique (i.e. the combination of time and information redundancy) is applicable to ABB-enabled systems and provides more advantages than time redundancy alone.
Abstract-High reliability against noise, high performance, and low energy consumption are key objectives in the design of onchip networks. Recently some researchers have considered the impact of various error-control schemes on these objectives and on the trade-off between them. In all these works performance and reliability are measured separately. However, we will argue in this paper that the use of error-control schemes in on-chip networks results in degradable systems, hence performance and reliability must be measured jointly using a unified measure, i.e., performability. Based on the traditional concept of performability, we provide a definition for the 'Interconnect Performability'. Analytical models are developed for interconnect performability and expected energy consumption. A detailed comparative analysis of the error-control schemes using the performability analytical models and SPICE simulations is provided taking into consideration voltage swing variations (used to reduce interconnect energy consumption) and variations in wire length. Furthermore, the impact of noise power and time constraint on the effectiveness of error-control schemes are analyzed.
Low power design techniques have been employed for more than two decades, however an emerging problem is satisfying the test power constraints for avoiding destructive test and improving the yield. Our research addresses this problem by proposing a new method which maintains the benefits of mixed-mode built-in self-test (BIST) (low test application time and high fault coverage), and reduces the excessive power dissipation associated with scan-based test. This is achieved by employing dual linear feedback shift register (LFSR) re-seeding and generating mask patterns to reduce the switching activity. Theoretical analysis and experimental results show that the proposed method consistently reduces the switching activity by 25% when compared to the traditional approaches, at the expense of a limited increase in storage requirements.
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