Syed Zafar Shazli

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Soft errors, due to cosmic radiations, are the major reliability barrier for VLSI designs. The vulnerability of such systems to soft errors grows exponentially with technology scaling. To meet reliability constraints in a cost-effective way, it is critical to assess soft error reliability parameters in early design stage to optimize reliability in the(More)
Soft errors, due to cosmic radiations, are the major reliability barriers for VLSI designs. To meet reliability constraints in a costeffective way, it is critical to assess soft error reliability parameters in early design stages. In this paper, we present a framework to accurately obtain soft error rate (SER) for high-level (behavioral) descriptions(More)
Soft errors due to alpha and cosmic particles are a growing reliability threat to information systems. In this work, a methodology is developed to analyze the effects of single event upsets (SEU) and obtain FIT rates for commercial microprocessors in live information systems. Our methodology is based on data collectedfrom error logs and error traces of the(More)
Application-specific instruction-set processors (ASIPs) allow the designer to extend the instruction set of the base processor with selected custom instructions to tailor-fit the application. In this paper, with the help of a motivational example, we first demonstrate that different custom instructions are vulnerable to faults with varying probabilities.(More)
Selecting an appropriate route for a given virtual circuit (VC) request in a virtual path based ATM network satisfying the required Quality of service (QoS) constraints is an important issue. Two of these important constraints are average network delay and reliability of the network. In this paper, a routing strategy based on Genetic Algorithm to find(More)
State justi cation is one of the most timeconsuming tasks in sequential Automatic Test Pattern Generation (ATPG). For states that are diÆcult to justify, deterministic algorithms take signi cant CPU time without much success most of the time. In this work, we adopt a hybrid approach for state justication. A new method based on Genetic Algorithms is(More)