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High-Performance Computing Using FPGAs

Author: Wim Vanderbauwhede

Publisher: Springer Science & Business Media

ISBN: 9781461417910

Category: Technology & Engineering

Page: 803

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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.
High-Performance Computing Using FPGAs
Language: un
Pages: 803
Authors: Wim Vanderbauwhede, Khaled Benkrid
Categories: Technology & Engineering
Type: BOOK - Published: 2013-08-23 - Publisher: Springer Science & Business Media

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
High Performance Computing
Language: en
Pages: 659
Authors: Michèle Weiland, Guido Juckeland, Sadaf Alam, Heike Jagode
Categories: Computers
Type: BOOK - Published: 2019-12-02 - Publisher: Springer Nature

This book constitutes the refereed post-conference proceedings of 13 workshops held at the 34th International ISC High Performance 2019 Conference, in Frankfurt, Germany, in June 2019: HPC I/O in the Data Center (HPC-IODC), Workshop on Performance & Scalability of Storage Systems (WOPSSS), Workshop on Performance & Scalability of Storage Systems
High Performance Scientific Computing Using FPGAs for Lattice QCD
Language: un
Pages:
Authors: Owen Callanan
Categories: Computers
Type: BOOK - Published: 2007 - Publisher:

Books about High Performance Scientific Computing Using FPGAs for Lattice QCD
Separation Logic for High-level Synthesis
Language: un
Pages: 132
Authors: Felix Winterstein
Categories: Technology & Engineering
Type: BOOK - Published: 2017-02-27 - Publisher: Springer

This book presents novel compiler techniques, which combine a rigorous mathematical framework, novel program analyses and digital hardware design to advance current high-level synthesis tools and extend their scope beyond the industrial ‘state of the art’. Implementing computation on customised digital hardware plays an increasingly important role in the quest
An FPGA Implementation of FDTD Codes for Reconfigurable High Performance Computing
Language: un
Pages:
Authors: Felix Winterstein
Categories: Technology & Engineering
Type: BOOK - Published: 2004 - Publisher:

Finite-difference time-domain (FDTD) codes are used in modeling RF signatures and electronic coupling. Despite improvements in large-scale modeling, simulation codes and the acquisition of powerful high-performance computing (HPC) platforms, simulations of such scientific problems require still more powerful computers. The advances in Field-Programmable Gate Array (FPGA) chips and FPGA-based co-processor