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High-Performance Computing Using FPGAs
Item #: 266872202

High-Performance Computing Using FPGAs

Item #: 266872202

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    Shop High-Performance Computing Using FPGAs online at a best price in UAE. 1493943103
    • 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.
    Publisher Springer
    Publication date 24 Sept. 2016
    Edition Softcover reprint of the original 1st ed. 2013
    Language English
    Print length 814 pages
    ISBN-10 1493943103
    ISBN-13 978-1493943104
    Item weight 1.12 kg
    Dimensions 15.6 x 4.11 x 23.39 cm

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    High-Performance Computing Using FPGAs

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