Advanced Memory Optimization Techniques for Low-Power Embedded Processors (Hardcover, 2007 ed.)

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The design of embedded systems warrants a new perspective because of the following two reasons: Firstly, slow and energy inefficient memory hierarchies have already become the bottleneck of the embedded systems. It is documented in the literature as the memory wall problem. Secondly, the software running on the contemporary embedded devices is becoming increasingly complex. It is also well understood that no silver bullet exists to solve the memory wall problem. Therefore, this book explores a collaborative approach by proposing novel memory hierarchies and software optimization techniques for the optimal utilization of these memory hierarchies. Linking memory architecture design with memory-architecture aware compilation results in fast, energy-efficient and timing predictable memory accesses.

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Product Description

The design of embedded systems warrants a new perspective because of the following two reasons: Firstly, slow and energy inefficient memory hierarchies have already become the bottleneck of the embedded systems. It is documented in the literature as the memory wall problem. Secondly, the software running on the contemporary embedded devices is becoming increasingly complex. It is also well understood that no silver bullet exists to solve the memory wall problem. Therefore, this book explores a collaborative approach by proposing novel memory hierarchies and software optimization techniques for the optimal utilization of these memory hierarchies. Linking memory architecture design with memory-architecture aware compilation results in fast, energy-efficient and timing predictable memory accesses.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Release date

May 2007

Availability

Expected to ship within 10 - 15 working days

First published

May 2007

Authors

,

Dimensions

235 x 155 x 12mm (L x W x T)

Format

Hardcover

Pages

188

Edition

2007 ed.

ISBN-13

978-1-4020-5896-7

Barcode

9781402058967

Categories

LSN

1-4020-5896-9



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