High-Performance Computing Using FPGAs
Editors: Vanderbauwhede, Wim, Benkrid, Khaled (Eds.)
Free Preview- 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
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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
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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)
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High-Performance Hardware Acceleration of Asset Simulations
Pages 3-32
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Monte-Carlo Simulation-Based Financial Computing on the Maxwell FPGA Parallel Machine
Pages 33-80
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Bioinformatics Applications on the FPGA-Based High-Performance Computer RIVYERA
Pages 81-103
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FPGA-Accelerated Molecular Dynamics
Pages 105-135
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FPGA-Based HPRC for Bioinformatics Applications
Pages 137-175
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Table of contents (26 chapters)
- Download Preface 1 PDF (39.5 KB)
- Download Sample pages 1 PDF (3.7 MB)
- Download Table of contents PDF (63.7 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- High-Performance Computing Using FPGAs
- Editors
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- 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
- 188 b/w illustrations, 232 illustrations in colour
- Topics
