The IBM POWER6e microprocessor is a 790 million-transistor chip that runs at a clock frequency of greater than 4 GHz. The complexity and size of the POWER6 microprocessor, together with its high operating frequency, present a number of significant challenges. This paper describes the physical design and design methodology of the POWER6 processor. Emphasis is placed on aspects of the design methodology, technology, clock distribution, integration, chip analysis, power and performance, random logic macro (RLM), and design data management processes that enabled the design to be completed and the project goals to be met.

Abstract. Emerging applications in the area of Emergency Response and DisasterManagement are increasingly demanding interactive capabilities to allow for the quick understanding of a critical situation, in particular in urban environments. A key component of these interactive simulations is how to recreate the behavior of a crowd in real-time while supporting individual behaviors. Crowds can often be unpredictable and present mixed behaviors such as panic or aggression, that can very rapidly change based on unexpected new elements introduced into the environment. We present preliminary research specifically oriented towards the simulation of large crowds for emergency response and rescue planning situations. Our approach uses a highly scalable architecture integrated with an efficient rendering architecture and an immersive visualization environment for interaction. In this environment, users can specify complex scenarios, "plug-in" crowd behavior algorithms, and interactively steer the simulation to analyze and evaluate multiple "what if" situations.

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Effective logic simulation programs must consider device propagation delays to be bounded values. This requires that the logic devices be simulated by models which use a multi-valued logical algebra.A quinary algebra is developed and employed in special algorithms which not only accurately predict the behavior of a logic circuit for all values of delay, but also detect the possibility of latent hazards and race conditions. A sample problem is simulated, and conclusions drawn.

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