Heterogeneous Memory Organizations in Embedded Systems - Placement of Dynamic Data Objects (Hardcover, 1st ed. 2020)

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This book defines and explores the problem of placing the instances of dynamic data types on the components of the heterogeneous memory organization of an embedded system, with the final goal of reducing energy consumption and improving performance. It is one of the first to cover the problem of placement for dynamic data objects on embedded systems with heterogeneous memory architectures, presenting a complete methodology that can be easily adapted to real cases and work flows. The authors discuss how to improve system performance and energy consumption simultaneously. Discusses the problem of placement for dynamic data objects on embedded systems with heterogeneous memory architectures; Presents a complete methodology that can be adapted easily to real cases and work flows; Offers hints on how to improve system performance and energy consumption simultaneously.

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Product Description

This book defines and explores the problem of placing the instances of dynamic data types on the components of the heterogeneous memory organization of an embedded system, with the final goal of reducing energy consumption and improving performance. It is one of the first to cover the problem of placement for dynamic data objects on embedded systems with heterogeneous memory architectures, presenting a complete methodology that can be easily adapted to real cases and work flows. The authors discuss how to improve system performance and energy consumption simultaneously. Discusses the problem of placement for dynamic data objects on embedded systems with heterogeneous memory architectures; Presents a complete methodology that can be adapted easily to real cases and work flows; Offers hints on how to improve system performance and energy consumption simultaneously.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Release date

2020

Availability

Expected to ship within 10 - 15 working days

First published

2020

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

208

Edition

1st ed. 2020

ISBN-13

978-3-03-037431-0

Barcode

9783030374310

Categories

LSN

3-03-037431-9



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