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Optimization and Mathematical Modeling in Computer Architecture - David Wood - Bog

Bag om Optimization and Mathematical Modeling in Computer Architecture

In this book we give an overview of modeling techniques used to describe computer systems to mathematical optimization tools. We give a brief introduction to various classes of mathematical optimization frameworks with special focus on mixed integer linear programming which provides a good balance between solver time and expressiveness. We present four detailed case studies -- instruction set customization, data center resource management, spatial architecture scheduling, and resource allocation in tiled architectures -- showing how MILP can be used and quantifying by how much it outperforms traditional design exploration techniques. This book should help a skilled systems designer to learn techniques for using MILP in their problems, and the skilled optimization expert to understand the types of computer systems problems that MILP can be applied to.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031006456
  • Indbinding:
  • Paperback
  • Sideantal:
  • 160
  • Udgivet:
  • 7. oktober 2013
  • Størrelse:
  • 191x9x235 mm.
  • Vægt:
  • 312 g.
  • 8-11 hverdage.
  • 29. november 2024
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Beskrivelse af Optimization and Mathematical Modeling in Computer Architecture

In this book we give an overview of modeling techniques used to describe computer systems to mathematical optimization tools. We give a brief introduction to various classes of mathematical optimization frameworks with special focus on mixed integer linear programming which provides a good balance between solver time and expressiveness. We present four detailed case studies -- instruction set customization, data center resource management, spatial architecture scheduling, and resource allocation in tiled architectures -- showing how MILP can be used and quantifying by how much it outperforms traditional design exploration techniques. This book should help a skilled systems designer to learn techniques for using MILP in their problems, and the skilled optimization expert to understand the types of computer systems problems that MILP can be applied to.

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