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 offers fresh computer-aided layout (CAD) principles that handle reminiscence administration initiatives, fairly the optimization of strength intake within the reminiscence subsystem. It explains the way to successfully enforce CAD suggestions, together with theoretical equipment and novel algorithms.

The publication covers a number of energy-aware layout innovations, together with data-dependence research ideas, reminiscence measurement estimation tools, extensions of mapping ways, and reminiscence banking techniques. It exhibits how those innovations are used to judge the information garage of an program, lessen dynamic and static power intake, layout energy-efficient handle iteration devices, and lots more and plenty more.

Providing an algebraic framework for reminiscence administration initiatives, this booklet illustrates the right way to optimize strength intake in reminiscence subsystems utilizing CAD ideas. The algorithmic form of the textual content can help digital layout automation (EDA) researchers and power builders create prototype software program instruments for system-level exploration, with the target to eventually receive an optimized architectural answer of the reminiscence subsystem.

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The set of j equalities must be linearly independent. d. The set of m lines must be linearly independent. 9 (Redundancy) Inequalities that don’t satisfy Prop. a or Prop. a are redundant. Vertices/rays that don’t satisfy Prop. b or Prop. b are redundant. 8 {x, y | 1 ≤ x ≤ 3; 2 ≤ y ≤ 4} vertex(1,2) vertex(1,4) vertex(3,2) vertex(3,4) x>=1 sat sat x<=3 sat sat y>=2 sat y<=4 y 4✻ r r 3 sat 2 sat 1 sat r r 1 x ✲ 3 2 36 Energy-Aware Memory Management for EMSs The dimension of the ray space is 2. Every constraint saturates two vertices and every vertex saturates two inequalities.

The algorithm to compute union should perform this kind of simplification during the union operation to control the amount of memory used. Thus, before adding any new polyhedron to an existing list of polyhedra, first check to see if that polyhedron is covered by some polyhedron already in the domain. If it is covered, then The Power of Polyhedra 43 the new polyhedron is not added to the domain. Likewise, polyhedra in the existing list may be deleted if they are covered by the new polyhedron. In the new combined list, no polyhedron should be a subset of any other polyhedron.

Ld r∈R l∈L ˆx = 0, Cˆ x C = {ˆ x | Aˆ ˆ ≥ 0} x ˆ = ␰x ␰ Aˆ = A Cˆ = C 0 −b −d 1 ˆ + R␮, ˆ C = {ˆ x|x ˆ = L␭ ␮ ≥ 0} ⎛ ␰v ⎞ 1 ⎜ ␰v2 ⎟ ⎜ ⎟ ˆ rˆv = ⎜ ... ⎟ , ␰ > 0, rˆv ∈ R ⎝ ⎠ ␰vd ␰ ⎛ r ⎞ 1 ⎜ r2 ⎟ ⎜ ⎟ ˆ rˆr = ⎜ ... ⎟ , rˆr ∈ R ⎝ ⎠ rd 0 ⎛ l ⎞ 1 ⎜ l2 ⎟ ⎟ ˆl = ⎜ ˆ ⎜ ... 4), it is advantageous to represent polyhedra redundantly using both forms. Even though this way of representing polyhedra is redundant and takes more memory, keeping both forms in memory reduces the number of duality computations that have to be made and improves the efficiency of polyhedral operations.

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Energy aware memory management for embedded multimedia systems : a computer aided design approach by Florin Balasa, Dhiraj K. Pradhan

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