Description

Book Synopsis
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.

Table of Contents
Acknowledgments.- Introduction.- An Overview of Optimization.- Case Study: Instruction Set Customization.- Case Study: Data Center Resource Management.- Case Study: Spatial Architecture Scheduling.- Case Study: Resource Allocation in Tiled Architectures.- Conclusions.- Bibliography.- Authors' Biographies.

Optimization and Mathematical Modeling in Computer Architecture

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    A Paperback by Karthikeyan Sankaralingam, Michael Ferris, Tony Nowatzki

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      View other formats and editions of Optimization and Mathematical Modeling in Computer Architecture by Karthikeyan Sankaralingam

      Publisher: Springer International Publishing AG
      Publication Date: Publication Date: 07/10/2013
      ISBN13: 9783031006456, 978-3031006456
      ISBN10: 3031006453

      Description

      Book Synopsis
      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.

      Table of Contents
      Acknowledgments.- Introduction.- An Overview of Optimization.- Case Study: Instruction Set Customization.- Case Study: Data Center Resource Management.- Case Study: Spatial Architecture Scheduling.- Case Study: Resource Allocation in Tiled Architectures.- Conclusions.- Bibliography.- Authors' Biographies.

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