Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays / Edition 1

Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays / Edition 1

ISBN-10:
0387261052
ISBN-13:
9780387261058
Pub. Date:
12/14/2005
Publisher:
Springer US
ISBN-10:
0387261052
ISBN-13:
9780387261058
Pub. Date:
12/14/2005
Publisher:
Springer US
Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays / Edition 1

Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays / Edition 1

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Overview

A one-of-a-kind survey of the field of Reconfigurable Computing

Gives a comprehensive introduction to a discipline that offers a 10X-100X acceleration of algorithms over microprocessors

Discusses the impact of reconfigurable hardware on a wide range of applications: signal and image processing, network security, bioinformatics, and supercomputing

Includes the history of the field as well as recent advances

Includes an extensive bibliography of primary sources


Product Details

ISBN-13: 9780387261058
Publisher: Springer US
Publication date: 12/14/2005
Edition description: 2005
Pages: 238
Product dimensions: 6.14(w) x 9.13(h) x 0.36(d)

Table of Contents

An Introduction to Reconfigurable Computing. What is RC? RC Architectures. How did RC originate? Inside the FPGA. Mapping Algorithms to Hardware. RC Applications. Example: Dot Product. Further Reading.- Reconfigurable Logic Devices. Field-Programmable Gate Arrays. Coarse-Grained Reconfigurable Arrays. Summary.- Reconfigurable Computing Systems. Parallel Processing on Reconfigurable Computers. A Survey of Reconfigurable Computing Systems. Summary.- Languages and Compilation. Design Cycle. Languages. High Level Compilation. Low Level Design Flow. Debugging Reconfigurable Computing Applications. Summary.- Signal Processing Applications. What is Digital Signal Processing? Why Use Reconfigurable Computing for DSP? DSP Application Building Blocks. Example DSP Applications.- Image Processing. RC for Image and Video Processing. Local Neighborhood Functions. Convolution. Morphology. Feature Extraction. Automatic Target Recognition. Image Matching. Evolutionary Image Processing. Summary.- Network Security. Cryptographic Applications. Network Prool Security. Summary.- Bioinformatics Applications. Introduction. Applications. Dynamic Programming Algorithms. Seed-Based Heuristics. Profiles, HMMs and Language Models. Bioinformatics FPGA Accelerators. Summary.- Supercomputing Applications. Introduction. Monte Carlo Simulation of Radiative Heat Transfer. Urban Road Traffic Simulation.

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