Abstract-Early exposure to embedded computing systems is crucial for students to be prepared for the embedded computing demands of today's world. Unfortunately, this exposure often comes too late in the curricula to make a meaningful impact. This paper describes our experience with integrating embedded computing systems education into high school and early undergraduate curricula to give students that needed early exposure. We believe that our initial foray has been very successful, thus we are currently pursuing further incorporation of embedded systems into our undergraduate curriculum.
Digital signal processing applications often require the computation of linear systems. These computations can be considerably expensive and require optimizations for lower power consumption, higher throughput, and faster response time. Unfortunately, system designers do not have the necessary tools to take advantage of the wide flexibility in ways to evaluate these expressions. Therefore, we address the problem of efficiently computing a set of linear systems through a tool, Xquasher, that is developed by us to enable elimination of large common subexpression from expressions with an arbitrary number of terms. Xquasher provides a methodology for efficient computation of both single and multiple linear expressions. We also introduce the concept of power set encoding which helps us to provide an effective optimization method and achieves significant improvement over previously published work. Our tool provides optimized designs with 15% less area with the cost of 3% increase in delay by reducing number of additions on average by 45%.
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