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High-Performance Computing Using FPGAs

Overview of attention for book
Cover of 'High-Performance Computing Using FPGAs'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 High-Performance Hardware Acceleration of Asset Simulations
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    Chapter 2 Monte-Carlo Simulation-Based Financial Computing on the Maxwell FPGA Parallel Machine
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    Chapter 3 Bioinformatics Applications on the FPGA-Based High-Performance Computer RIVYERA
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    Chapter 4 FPGA-Accelerated Molecular Dynamics
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    Chapter 5 FPGA-Based HPRC for Bioinformatics Applications
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    Chapter 6 High-Performance Computing for Neuroinformatics Using FPGA
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    Chapter 7 High-Performance FPGA-Accelerated Real-Time Search
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    Chapter 8 High-Performance Data Processing Over N -ary Trees
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    Chapter 9 FPGA-Based Systolic Computational-Memory Array for Scalable Stencil Computations
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    Chapter 10 High Performance Implementation of RTM Seismic Modeling on FPGAs: Architecture, Arithmetic and Power Issues
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    Chapter 11 High-Performance Cryptanalysis on RIVYERA and COPACOBANA Computing Systems
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    Chapter 12 FPGA-Based HPRC Systems for Scientific Applications
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    Chapter 13 Accelerating the SPICE Circuit Simulator Using an FPGA: A Case Study
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    Chapter 14 The Convey Hybrid-Core Architecture
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    Chapter 15 Low Cost High Performance Reconfigurable Computing
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    Chapter 16 An FPGA-Based Supercomputer for Statistical Physics: The Weird Case of Janus
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    Chapter 17 Accelerate Communication, not Computation!
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    Chapter 18 High-Speed Torus Interconnect Using FPGAs
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    Chapter 19 MEMSCALE: Re-architecting Memory Resources for Clusters
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    Chapter 20 High-Performance Computing Based on High-Speed Dynamic Reconfiguration
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    Chapter 21 Reconfigurable Arithmetic for High-Performance Computing
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    Chapter 22 Acceleration of the Discrete Element Method: From RTL to C-Based Design
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    Chapter 23 Optimising Euroben Kernels on Maxwell
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    Chapter 24 Assessing Productivity of High-Level Design Methodologies for High-Performance Reconfigurable Computers
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    Chapter 25 Maximum Performance Computing with Dataflow Engines
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    Chapter 26 Erratum: MEMSCALE: Re-architecting Memory Resources for Clusters
Attention for Chapter 16: An FPGA-Based Supercomputer for Statistical Physics: The Weird Case of Janus
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Chapter title
An FPGA-Based Supercomputer for Statistical Physics: The Weird Case of Janus
Chapter number 16
Book title
High-Performance Computing Using FPGAs
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-1791-0_16
Book ISBNs
978-1-4614-1790-3, 978-1-4614-1791-0
Authors

M. Baity-Jesi, R. A. Baños, A. Cruz, L. A. Fernandez, J. M. Gil-Narvion, A. Gordillo-Guerrero, M. Guidetti, D. Iñiguez, A. Maiorano, F. Mantovani, E. Marinari, V. Martin-Mayor, J. Monforte-Garcia, A. Mũnoz Sudupe, D. Navarro, G. Parisi, M. Pivanti, S. Perez-Gaviro, F. Ricci-Tersenghi, J. J. Ruiz-Lorenzo, S. F. Schifano, B. Seoane, A. Tarancon, P. Tellez, R. Tripiccione, D. Yllanes, Baity-Jesi, M., Baños, R. A., Cruz, A., Fernandez, L. A., Gil-Narvion, J. M., Gordillo-Guerrero, A., Guidetti, M., Iñiguez, D., Maiorano, A., Mantovani, F., Marinari, E., Martin-Mayor, V., Monforte-Garcia, J., Sudupe, A. Mũnoz, Navarro, D., Parisi, G., Pivanti, M., Perez-Gaviro, S., Ricci-Tersenghi, F., Ruiz-Lorenzo, J. J., Schifano, S. F., Seoane, B., Tarancon, A., Tellez, P., Tripiccione, R., Yllanes, D.

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Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 38%
Student > Ph. D. Student 2 25%
Professor 1 13%
Researcher 1 13%
Unknown 1 13%
Readers by discipline Count As %
Engineering 2 25%
Computer Science 1 13%
Business, Management and Accounting 1 13%
Physics and Astronomy 1 13%
Economics, Econometrics and Finance 1 13%
Other 0 0%
Unknown 2 25%

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