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

  Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation Hardback by Scott Hauck ; Andre DeHon

  • Published by: MORGAN KAUFMANN
  • Author: Scott Hauck ; Andre DeHon
  • Page Count: 908
  • Group: SOFTWARE ENGINEERING
  • ISBN: 0123705223/9780123705228
  • Published: Nov 2007

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Book Information and Description:

Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation Hardback
In the two decades since field-programmable gate arrays (FPGAs) were introduced, they have radically changed the way digital logic is designed and deployed. By marrying the high performance of custom VLSI chips with the flexibility of microprocessors, FPGAs have made possible entirely new types of applications. From full-chip logic verification to radar and image-processing tasks, FPGA-based solutions are often the most efficient way to perform some of today's most challenging tasks.

CONTENTS:

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 Andre 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