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Invited Paper In this paper we consider device scaling and speed limitations on irreversible von Neumann computing that are derived from the requirement of " least energy computation. " We consider computational systems whose material realizations utilize electrons and energy barriers to represent and manipulate their binary representations of state. The(More)
Goal: Position the U.S. at the forefront of communications and computation capability beyond the physical and conceptual limitations of current technologies. Description and Scientific Rationale: Moore's Law refers to the empirical observation made in 1965 that computer processing power, based on semiconductor integrated circuits, doubles about every 18(More)
Emerging research device technologies might first appear in special applications that can extend conventional general-purpose processors along one of several axes. These applications could optimize the performance of future workloads such as recognition, mining, and synthesis by using the unique nonlinear output characteristics associated with the emerging(More)
Future nanoscale technology might drive a migration to different information-processing and computing approaches. One such possibility is the class of digital cellular automata. The recent emergence of multicore architectures, driven by semiconductor technology constraints, motivates the investigation of cellular automata architectures as(More)
The search for alternate information processing technologies to sustain Moore's Law improvements beyond those attainable by scaling of charge-based devices encompasses several key technologies. Some of these technologies were explored at the Third Workshop on Silicon Nanoelectronics and Beyond (SNB III) held at the National Science Foundation in Washington(More)