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High-Performance Computing Using FPGAs

Editors: Vanderbauwhede, Wim, Benkrid, Khaled (Eds.)

  • Presents a taxonomy of existing high performance reconfigurable computer architectures
  • Examines the software tools used in the design and programming of HPRC systems
  • Discusses the future of HPRC and speculates on the shape of future HPRC systems
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About this book

High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of architectures, tools and applications for High-Performance Reconfigurable Computing (HPRC). FPGAs offer very high I/O bandwidth and fine-grained, custom and flexible parallelism and with the ever-increasing computational needs coupled with the frequency/power wall, the increasing maturity and capabilities of FPGAs, and the advent of multicore processors which has caused the acceptance of parallel computational models. The Part on architectures will introduce different FPGA-based HPC platforms: attached co-processor HPRC architectures such as the CHREC’s Novo-G and EPCC’s  Maxwell systems; tightly coupled HRPC architectures, e.g. the Convey hybrid-core computer; reconfigurably networked HPRC architectures, e.g. the QPACE system, and standalone HPRC architectures such as EPFL’s CONFETTI system. The Part on Tools will focus on high-level programming approaches for HPRC, with chapters on C-to-Gate tools (such as Impulse-C, AutoESL, Handel-C, MORA-C++); Graphical tools (MATLAB-Simulink, NI LabVIEW); Domain-specific languages, languages for heterogeneous computing(for example OpenCL, Microsoft’s Kiwi and Alchemy projects).  The part on Applications will present case from  several application domains where HPRC has been used successfully, such as Bioinformatics and Computational Biology; Financial Computing; Stencil computations; Information retrieval; Lattice QCD; Astrophysics simulations; Weather and climate modeling.

About the authors

Wim Vanderbauwhede is currently a Lecturer at the Department of Computing Science of the University of Glasgow.
Dr. Benkrid is currently a Senior Lecturer at School of Engineering and Electronics at The University of Edinburgh.

Table of contents (26 chapters)

  • High-Performance Hardware Acceleration of Asset Simulations

    Schryver, Christian (et al.)

    Pages 3-32

  • Monte-Carlo Simulation-Based Financial Computing on the Maxwell FPGA Parallel Machine

    Tian, Xiang (et al.)

    Pages 33-80

  • Bioinformatics Applications on the FPGA-Based High-Performance Computer RIVYERA

    Wienbrandt, Lars

    Pages 81-103

  • FPGA-Accelerated Molecular Dynamics

    Khan, M. A. (et al.)

    Pages 105-135

  • FPGA-Based HPRC for Bioinformatics Applications

    Yamaguchi, Yoshiki (et al.)

    Pages 137-175

Buy this book

eBook $219.00
price for USA (gross)
  • ISBN 978-1-4614-1791-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $279.00
price for USA
  • ISBN 978-1-4614-1790-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $279.00
price for USA
  • ISBN 978-1-4939-4310-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
High-Performance Computing Using FPGAs
Editors
  • Wim Vanderbauwhede
  • Khaled Benkrid
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-1791-0
DOI
10.1007/978-1-4614-1791-0
Hardcover ISBN
978-1-4614-1790-3
Softcover ISBN
978-1-4939-4310-4
Edition Number
1
Number of Pages
XI, 803
Number of Illustrations and Tables
188 b/w illustrations, 232 illustrations in colour
Topics