Reconfigurable Computing

by Hauck; DeHon

• ISBN13: 9780123705228
• ISBN10: 0123705223
• Format: Hardcover
• Copyright: 2007-11-02
• Publisher: Elsevier Science

Summary

The main characteristic of Reconfigurable Computing is the presence of hardware that can be reconfigured to implement specific functionality more suitable for specially tailored hardware than on a simple uniprocessor. Reconfigurable computing systems join microprocessors and programmable hardware in order to take advantage of the combined strengths of hardware and software and have been used in applications ranging from embedded systems to high performance computing. Many of the fundamental theories have been identified and used by the Hardware/Software Co-Design research field. Although the same background ideas are shared in both areas, they have different goals and use different approaches.This book is intended as an introduction to the entire range of issues important to reconfigurable computing, using FPGAs as the context, or computing vehicles to implement this powerful technology. It will take a reader with a background in the basics of digital design and software programming and provide them with the knowledge needed to be an effective designer or researcher in this rapidly evolving field. Treatment of FPGAs as computing vehicles rather than glue-logic or ASIC substitutes Views of FPGA programming beyond Verilog/VHDL Broad set of case studies demonstrating how to use FPGAs in novel and efficient ways

Table of Contents

Preface

Introduction

Hardware

Intro

General-Purpose FPGA Architecture

Reconfigurable Computing Devices

Reconfigurable Computing Systems

Reconfiguration Management

Software

Intro

Computer Models and System Architectures Andre DeHon

Hardware Description Languages (VHDL)

Compilation for Reconfigurable Computing Machines

Streaming Models

Matlab/Simulink

SCORE

SIMD/Vector

OS/Runtime Systems

JHDL

Technology Mapping

Placement

General-purpose / FPGA

Datapath

Constructive

Routing

Retimin

Bitstream Generation, JBits

Fast Mapping

Application Development

Intro

Evaluating and Optimizing problems for FPGA implementations

Instance-specific design, Constant Propagation & Partial Evaluation

Precision Analysis & Floating Point

Distributed Arithmetic

Cordic

Task allocation: FPGA vs. CPU partitioning

Case Studies

Intro

Image Processing, Variable Precision, Algorithm Alteration: SPIHT Compression

Run-time reconfiguration: Automatic Target Recognition

Problem-specific circuitry: SAT Solving

Multi-FPGA Systems: Logic Emulation

Floating Point

FDTD

Genetic Evolution

Packet Filtering (Networking application)

Active Pages [Memory centric]

Theoretical Underpinnings and Future Directions

Intro

Theoretical Underpinnings, Metrics and Analysis

Defect and Fault Tolerance

Reconfigurable Computing and Nanotechnology

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