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Reconfigurable Computing
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  • Reconfigurable Computing
ID: 174670
Scott Hauck, André DeHon
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The main characteristic of Reconfigurable Computation is a simple uniprocessor. Reconfigurable computing systems join microprocessors and programmable hardware for high performance computing. Many of the fundamental theories have been identified and used by the Co-Design research field. Although the same background ideas are shared in both areas, they have different approaches. implement this powerful technology. It will be a reader with a background in the basics of digital design.

. 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

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
174670

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