Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation

Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap between the separate worlds of hardware and software design- the key feature of reconfigurable computing is its groundbreaking ability to perform computations in hardware to increase performance while retaining the flexibility of a software solution. Reconfigurable computers serve as affordable, fast, and accurate tools for developing designs ranging from single chip architectures to multi-chip and embedded systems.

Scott Hauck and Andre DeHon have assembled a group of the key experts in the fields of both hardware and software computing to provide an introduction to the entire range of issues relating to reconfigurable computing. FPGAs (field programmable gate arrays) act as the “computing vehicles” to implement this powerful technology. Readers will be guided into adopting a completely new way of handling existing design concerns and be able to make use of the vast opportunities possible with reconfigurable logic in this rapidly evolving field.

Contents
Preface
Introduction
Part One: Hardware
Part I INTRO
Chapter 1 - General-Purpose FPGA Architecture
Chapter 2 - Reconfigurable Computing Devices
Chapter 3 - Reconfigurable Computing Systems
Chapter 4 - Reconfiguration Management
Part Two: Software
Part II Intro
Chapter 5 - Computer Models and System Architectures
André DeHon Chapter 6 - Hardware Description Languages (VHDL)
Chapter 7 - Compilation for Reconfigurable Computing Machines
Chapter 8 - Streaming Models
8.1 MATLAB/SIMULINK
8.2 SCORE
Chapter 9 SIMD/Vector
Chapter 10 - OS/Runtime Systems
Chapter 11 - JHDL
Chapter 12 -Technology Mapping
Chapter 13 - Placement
13.1 General-purpose / FPGA
13.2 Datapath
13.3 Constructive
Chapter 14 - Routing
Chapter 15 - Retimin
Chapter 16 - Bitstream Generation, JBits
Chapter 17 - Fast Mapping
Part Three: Application Development
PART III INTRO
Chapter 18 - Evaluating and Optimizing problems for FPGA implementations
Chapter 19- Instance-specific design, Constant Propagation & Partial Evaluation
Chapter 20 - Precision Analysis & Floating Point
Chapter 21 - Distributed Arithmetic
Chapter 22 - CORDIC
Chapter 23 - Task allocation: FPGA vs. CPU partitioning
Part Four: Case Studies
PART IV INTRO
Chapter 24 - Image Processing, Variable Precision, Algorithm Alteration: SPIHT Compression
Chapter 25 - Run-time reconfiguration: Automatic Target Recognition
Chapter 26 - Problem-specific circuitry: SAT Solving
Chapter 27 - Multi-FPGA Systems: Logic Emulation
Chapter 28- Floating Point
Chapter 29 - FDTD
Chapter 30 - Genetic Evolution
Chapter 31 - Packet Filtering (Networking application)
Chapter 32 - Active Pages [Memory centric]
Part Five: Theoretical Underpinnings and Future Directions
PART V INTRO
Chapter 33- Theoretical Underpinnings, Metrics and Analysis
Chapter 34 - Defect and Fault Tolerance
Chapter 35 - Reconfigurable Computing and Nanotechnology