Titlebook: Memory Design Techniques for Low Energy Embedded Systems; Alberto Macii,Luca Benini,Massimo Poncino Book 2002 Springer Science+Business Me

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ion. It guides the reader through different memory organizations and technologies and it reviews the most successful strategies for optimizing them in the power and performance plane.978-1-4419-4953-0978-1-4757-5808-5

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Application-Specific Code Compression,Although memory energy consumption is relevant, additional improvements can be achieved by combining the minimization of memory and bus energy, that is, of the whole memory-processor interface. Optimizing the processor-to-memory bandwidth is one possibility to simultaneously reduce memory and bus power.

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Alberto Macii,Luca Benini,Massimo Poncinout 23(3):487–515, 2013 [.], Ili?-Stepi? and Ognjanovi?, Studia Logica 103:145–174, 2015 [.], Ognjanovi? et al., Ann Math Artif Intell 65(2–3):217–243, 2012, [.], Ra?kovi? et al., Int J Approx Reason 49(1):52–66, 2008 [.].

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Application-Specific Core-Based Systems,ntrollers. A distinctive characteristic of early integrated circuits was their internal homogeneity: Almost all transistors where dedicated to a single task. In particular, separation between computation and storage was quite rigorous, logic (i.e., computation) chips did not contain a significant amount of memory and vice-versa.

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Energy Optimization of the Memory Sub-System,mpletely changed this picture. Nowadays, the cost per memory bit is extremely low, and memory size is rarely the main issue. Memory performance and power consumption are now the key challenges in system design.