Fault and Defect Tolerant Computer Architectures: Reliable Computing With Unreliable Devices

This research addresses design of a reliable computer from unreliable device technologies. A system architecture is developed for a fault and defect tolerant (FDT) computer. Trade-offs between different techniques are studied and yield and hardware cost models are developed. Fault and defect tolerant designs are created for the processor and the cache memory. Simulation results for the content-addressable memory (CAM)-based cache show 90% yield with device failure probabilities of 3 x 10(-6), three orders of magnitude better than non fault tolerant caches of the same size. The entire processor achieves 70% yield with device failure probabilities exceeding 10(-6). The required hardware redundancy is approximately 15 times that of a non-fault tolerant design. While larger than current FT designs, this architecture allows the use of devices much more likely to fail than silicon CMOS. As part of model development, an improved model is derived for NAND Multiplexing. The model is the first accurate model for small and medium amounts of redundancy. Previous models are extended to account for dependence between the inputs and produce more accurate results

Ultra Reliable Computing Systems

For high security and safety applications as well as general purpose applications, it is necessary to have ultra reliable computing systems. This dissertation describes our system of self-testable and self-repairable digital devices, especially, EPLDs (Electrically Programmable Logic Devices). In addition to significantly improving the reliability of digital systems, our self-healing and re-configurable system design with added repair capability can also provide higher yields, lower testing costs, and faster time-to-market for the semiconductor industry. The digital system in our approach is composed of blocks, which realize combinational and sequential circuits using GALs (Generic Array Logic Devices). We describe three techniques for fault-locating and fault-repairing in these devices. The methodology we used for evaluation of these methods and a comparison with devices that have no self-repair capability was simulation of the self-repair algorithms. Our simulations show that the lifetime for a GAL-based EPLD that uses our multiple self-repairing methods is longer than the lifetime of a GAL-based EPLD that uses a single self-repair method or no self-repair method. Specifically, our work demonstrates that the lifetime of a GAL can be increased by adding extra columns in the AND array of a GAL and extra output ORs in a GAL. It also gives information on how many extra columns and extra ORs a GAL needs and which self-repairing method should be used to guarantee a given lifetime. Thus, we can estimate an ideal point, where the maximum reliability can be reached with the minimum cost