84,89 €
Heterogeneous Memory Organizations in Embedded Systems
Heterogeneous Memory Organizations in Embedded Systems
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Heterogeneous Memory Organizations in Embedded Systems
Heterogeneous Memory Organizations in Embedded Systems
El. knyga:
84,89 €
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 dis…

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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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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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