Maya B. Gokhale, Paul S. Graham

Reconfigurable Computing

Accelerating Computation with Field-Programmable Gate Arrays

• Broschiertes Buch

Produktbeschreibung

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

Produktdetails

• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-3865-7
• Softcover reprint of hardcover 1st ed. 2005
• Seitenzahl: 252
• Erscheinungstermin: 29. Oktober 2010
• Englisch
• Abmessung: 240mm x 160mm x 14mm
• Gewicht: 430g
• ISBN-13: 9781441938657
• ISBN-10: 1441938656
• Artikelnr.: 32135568

Inhaltsangabe

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 Protocol 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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