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
Chapter 9 SIMD/Vector
Chapter 10 - OS/Runtime Systems
Chapter 11 - JHDL
Chapter 12 -Technology Mapping
Chapter 13 - Placement
13.1 General-purpose / FPGA
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
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.
• Designed for both hardware and software programmers • Views of reconfigurable programming beyond standard programming languages • Broad set of case studies demonstrating how to use FPGAs in novel and efficient ways
Primary: Researchers/Practitioners in Reconfigurable Computing and FPGAs. Secondary: Graduate-level courses in Advanced Digital Systems (digital design), Reconfigurable Computing, Advanced Computer Architecture, Digital Signal Processing.
- No. of pages:
- © Morgan Kaufmann 2007
- 2nd November 2007
- Morgan Kaufmann
- eBook ISBN:
- Hardcover ISBN:
Associate Professor, University of Washington, Department of Electrical Engineering, Seattle, WA, U.S.A.
Assistant Professor, Computer Science, California Institute of Technology, Pasadena, CA, USA.