Abstract
Over the past years, the growing performance gap between large memories and computational logic fueled an increased usage of complex memory hierarchies. The main goal of such hierarchies is to provide data and instructions to the processing elements with maximum efficiency, both in terms of latency and energy consumption. The importance of using an efficient memory hierarchy places it as a critical component also in embedded systems, where one often faces strict performance and power constraints.In Chap.2, we have discussed that, since different applications have different requirements and behaviors, the optimal processing structure for each one is also different. This same property applies when one considers memories: a memory hierarchy specifically tailored for a given use pattern is able to provide optimum throughput with reduced energy consumption. This same specific structure, however, may perform poorly when used directly with other applications, without any adaptation. Hence, just as reconfigurable architectures adapt themselves to better fit each application, reconfigurable memories should shape to the requirements of the application under execution. In this chapter we present the basic concepts and technology tradeoffs involved in memory hierarchies and discuss possible approaches to provide adaptability for such structures.
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Nazar, G.L., Carro, L. (2013). Reconfigurable Memories. In: Beck, A., Lang Lisbôa, C., Carro, L. (eds) Adaptable Embedded Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1746-0_4
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