Model checking of large designs is a challenging task because of different scalability issues. In this paper, we aim to utilize guided state space traversal to address this issue. However, providing guidance for state...
ISBN:
(数字)9781728126951
ISBN:
(纸本)9781728126968
Model checking of large designs is a challenging task because of different scalability issues. In this paper, we aim to utilize guided state space traversal to address this issue. However, providing guidance for state space traversal of complex designs is also an equally challenging problem. We adopt a simulation-based strategy combined with Bayesian modelling approach for finding effective guidance hints for state space traversal. A heuristic-based structural dependency of the design yields ineffective guidance hints which need further of filtering. To prune out the ineffective guidance hints, we first generate module-level sub-properties from static analysis of the design. These sub-properties and structural dependency-based guidance hints are analyzed in simulation traces generated from the constrained-random test benches. These conditional occurrence of sub-properties and guidance hints are inputs to a Bayesian model which can then provide us the guidance hints with the highest profitability. With the proposed methodology, we succeed in pruning out the set of unprofitable guidance hints and obtain effective search directions which are then used to assist the model checking procedure. Experiments on two complex designs for different properties show the effectiveness of the proposed methodology in reducing CPU time during model checking.
Generic instruction based testing methods do not always give good fault coverage for the complex units like Forwarding unit. Hence it becomes important to carefully craft the test which are best for different parts of...
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The Performance, area, and power are most essential factors to be considered and optimize at every step in the design cycle. Design engineers often need to learn about these factors in order make right decisions on de...
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The Performance, area, and power are most essential factors to be considered and optimize at every step in the design cycle. Design engineers often need to learn about these factors in order make right decisions on design strategies. Power analysis at lower levels of abstraction can provide more accurate analysis than higher levels. Worst case power can be estimated through high activity pattern generation. However, generation of such power hungry patterns (PHP) become challenging as the number of modules or design components increases. This process can be accelerated at higher abstraction levels by utilizing the available information. In this paper, we generate PHP by at higher abstraction level with significant speed up. A genetic algorithm is implemented to find out the global maximum power of designs. An experiment indicates that the process implemented is much faster and it finds about 10 % more power demanding PHP than random samples generated.
Relentless scaling in CMOS fabrication technology has made contemporary integrated circuits continue to evolve and grow in functionality with high clock frequencies and exponentially increasing transistor counts. Howe...
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ISBN:
(纸本)9781509015085
Relentless scaling in CMOS fabrication technology has made contemporary integrated circuits continue to evolve and grow in functionality with high clock frequencies and exponentially increasing transistor counts. However, it also makes them more susceptible to transient faults effectively decreasing their reliability. Therefore, ensuring correct and reliable operation of these microprocessors at low cost has become a challenging task. This paper proposes a light weight error detection method called REMO which aims to incorporate simple fault tolerance mechanisms as part of the basic architecture. It dynamically verifies the execution results of the instructions by exploiting spatial and temporal redundancy and detects soft errors. REMO shows that with minimal area, power and performance overhead, and a very low detection latency, a very high degree of fault coverage can be achieved. Our simulation results shows an increase in area is about 0.4%, power overhead near to 9% and a negligible performance penalty during fault free run.
Enhancing observability is a key challenge in post-silicon validation. On-chip trace buffers store real time data which can be used for analyzing and debugging. Appropriate selection of these signals is crucial for st...
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ISBN:
(纸本)9781509006946
Enhancing observability is a key challenge in post-silicon validation. On-chip trace buffers store real time data which can be used for analyzing and debugging. Appropriate selection of these signals is crucial for storing useful debug data. This paper proposes a methodology for identifying trace signals so as to maximize detection of erroneous behavior of the failing chip which helps in improving quality of information available for debugging. Different quantitative measures are proposed to assess utility of debug data. Experimental results on benchmark circuits indicate that the methodology is useful for selecting trace signals which maximize debug data effectiveness.
Power dissipation is a major issue with testing of designs having full scan architectures. The proposed scan technique minimizes toggle activity while scanning in test patterns. The method uses bit inversion technique...
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ISBN:
(纸本)9781509006946
Power dissipation is a major issue with testing of designs having full scan architectures. The proposed scan technique minimizes toggle activity while scanning in test patterns. The method uses bit inversion technique to avoid toggles in scan flip-flops. The setup is dynamically configurable to one among the logic reversal structure and traditional scan while shift-in/shift-out of test patterns. Experimental results indicate that the average toggle activity is minimized substantially compared to California Scan architecture. It has features of full diagnosability of single stuck-at faults along the scan chain path.
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