Download Energy aware memory management for embedded multimedia by Florin Balasa, Dhiraj K. Pradhan PDF

By Florin Balasa, Dhiraj K. Pradhan

ISBN-10: 1439814007

ISBN-13: 9781439814000

Energy-Aware reminiscence administration for Embedded Multimedia structures: A Computer-Aided layout Approach provides contemporary computer-aided layout (CAD) rules that handle reminiscence administration projects, relatively the optimization of strength intake within the reminiscence subsystem. It explains find out how to successfully enforce CAD ideas, together with theoretical equipment and novel algorithms.

The e-book covers a variety of energy-aware layout ideas, together with data-dependence research innovations, reminiscence measurement estimation tools, extensions of mapping ways, and reminiscence banking methods. It exhibits how those thoughts are used to judge the information garage of an program, decrease dynamic and static strength intake, layout energy-efficient tackle iteration devices, and lots more and plenty more.

Providing an algebraic framework for reminiscence administration projects, this ebook illustrates find out how to optimize strength intake in reminiscence subsystems utilizing CAD recommendations. The algorithmic sort of the textual content may also help digital layout automation (EDA) researchers and power builders create prototype software program instruments for system-level exploration, with the objective to finally receive an optimized architectural resolution of the reminiscence subsystem.

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Extra resources for Energy aware memory management for embedded multimedia systems : a computer aided design approach

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B. Every vertex must saturate at least d inequalities, and a ray must saturate at least d − 1 inequalities plus the positivity constraint. c. Every equation must be saturated by all lines and vertices/rays. d. Every line must saturate all equalities and inequalities. The independence rule is an invariant of the dual form representation of polyhedra in which only a (nonunique) minimal representation of a polyhedron is stored. 3 (Independence Rule) a. No inequality is a positive combination of any other two inequalities or equalities.

This is a basic memory/execution time trade-off made in favor of execution time. A second advantage is that the two dual forms can be used to reduce each other to a minimal size. It will be shown below how the rays and lines can be used to remove redundant inequalities, and how the constraints can be used to remove redundant (nonextremal) rays. The process of reducing the representation of polyhedra to a minimal normal form is greatly simplified by keeping and maintaining the two dual forms of polyhedra in memory.

8) all of the constraints of p1. This is an example of when a difficult computation is done efficiently using the dual representation. The constraint representation of p1 and the dual ray representation of p2 are used to determine p1 ⊇ p2. Since the dual form representations of both p1 and p2 are kept in memory, the dual does not need to be (re)computed in order to do this test. 5 Difference Domain difference A − B computes the domain that is part of A but not part of B. It is equivalent to A∩ ∼ B, where ∼ B is the complement domain of B.

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