Optimization and Mathematical Modeling in Computer Architecture
Sankaralingam, Karthikeyan
Optimization and Mathematical Modeling in Computer Architecture by Karthikeyan Sankaralingam, Michael Ferris, Tony Nowatzki, Christian Estay, Nilay Vaish, David Wood - 1st edition 2014 - 1 recurso en línea (XIV, 144 páginas) - Synthesis Lectures on Computer Architecture 1935-3243 .
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.
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.
9783031017735
10.1007/978-3-031-01773-5 doi
Arquitectura de ordenador
Modelos matemáticos
QA76.9.A73 / 2014 EB
Optimization and Mathematical Modeling in Computer Architecture by Karthikeyan Sankaralingam, Michael Ferris, Tony Nowatzki, Christian Estay, Nilay Vaish, David Wood - 1st edition 2014 - 1 recurso en línea (XIV, 144 páginas) - Synthesis Lectures on Computer Architecture 1935-3243 .
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.
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.
9783031017735
10.1007/978-3-031-01773-5 doi
Arquitectura de ordenador
Modelos matemáticos
QA76.9.A73 / 2014 EB