High-Performance Computing Using FPGAs

1. Front Matter

   Pages i-xi

   PDF

2. Applications

   1. Front Matter

      Pages 1-2

      PDF

   2. High-Performance Hardware Acceleration of Asset Simulations

      • Christian de Schryver, Henning Marxen, Stefan Weithoffer, Norbert Wehn

      Pages 3-32

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

      • Xiang Tian, Khaled Benkrid

      Pages 33-80

   4. Bioinformatics Applications on the FPGA-Based High-Performance Computer RIVYERA

      • Lars Wienbrandt

      Pages 81-103

   5. FPGA-Accelerated Molecular Dynamics

      • M. A. Khan, M. Chiu, M. C. Herbordt

      Pages 105-135

   6. FPGA-Based HPRC for Bioinformatics Applications

      • Yoshiki Yamaguchi, Yasunori Osana, Masato Yoshimi, Hideharu Amano

      Pages 137-175

   7. High-Performance Computing for Neuroinformatics Using FPGA

      • Will X. Y. Li, Rosa H. M. Chan, Wei Zhang, Chiwai Yu, Dong Song, Theodore W. Berger et al.

      Pages 177-207

   8. High-Performance FPGA-Accelerated Real-Time Search

      • Wim Vanderbauwhede, Sai. R. Chalamalasetti, Martin Margala

      Pages 209-244

   9. High-Performance Data Processing Over N-ary Trees

      • Valery Sklyarov, Iouliia Skliarova

      Pages 245-277

   10. FPGA-Based Systolic Computational-Memory Array for Scalable Stencil Computations

       • Kentaro Sano

       Pages 279-303

   11. High Performance Implementation of RTM Seismic Modeling on FPGAs: Architecture, Arithmetic and Power Issues

       • Victor Medeiros, Abner Barros, Abel Silva-Filho, Manoel E. de Lima

       Pages 305-334

   12. High-Performance Cryptanalysis on RIVYERA and COPACOBANA Computing Systems

       • Tim Güneysu, Timo Kasper, Martin Novotný, Christof Paar, Lars Wienbrandt, Ralf Zimmermann

       Pages 335-366

   13. FPGA-Based HPRC Systems for Scientific Applications

       • Tsuyoshi Hamada, Yuichiro Shibata

       Pages 367-387

   14. Accelerating the SPICE Circuit Simulator Using an FPGA: A Case Study

       • Nachiket Kapre, André DeHon

       Pages 389-427

3. Architectures

   1. Front Matter

      Pages 429-429

      PDF

   2. The Convey Hybrid-Core Architecture

      • Bernd Klauer

      Pages 431-451

   3. Low Cost High Performance Reconfigurable Computing

      • Javier Castillo, Jose Luis Bosque, Cesar Pedraza, Emilio Castillo, Pablo Huerta, Jose Ignacio Martinez

      Pages 453-479

   4. An FPGA-Based Supercomputer for Statistical Physics: The Weird Case of Janus

      • M. Baity-Jesi, R. A. Baños, A. Cruz, L. A. Fernandez, J. M. Gil-Narvion, A. Gordillo-Guerrero et al.

      Pages 481-506

   5. Accelerate Communication, not Computation!

      • Mondrian Nüssle, Holger Fröning, Sven Kapferer, Ulrich Brüning

      Pages 507-542

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.

• FPGA computing
• FPGA configuration
• Field-programmable gate array
• HPRC architectures
• High-Performance Reconfigurable Computing HRPC
• High-level FPGA Programming
• high speed low latency networking
• integrated circuit
• programmable logic components
• information and communication, circuits

• School of Computing Science, University of Glasgow, Glasgow, UK

  Wim Vanderbauwhede

• School of Engineering and Electronics, The University of Edinburgh, Edinburgh, UK

  Khaled Benkrid

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.

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