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Titlebook: High-Performance Computing Using FPGAs; Wim Vanderbauwhede,Khaled Benkrid Book 2013 Springer Science+Business Media, LLC 2013 FPGA computi

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發(fā)表于 2025-3-21 17:48:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)High-Performance Computing Using FPGAs
編輯Wim Vanderbauwhede,Khaled Benkrid
視頻videohttp://file.papertrans.cn/427/426654/426654.mp4
概述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 s
圖書(shū)封面Titlebook: High-Performance Computing Using FPGAs;  Wim Vanderbauwhede,Khaled Benkrid Book 2013 Springer Science+Business Media, LLC 2013 FPGA computi
描述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 heteroge
出版日期Book 2013
關(guān)鍵詞FPGA computing; FPGA configuration; Field-programmable gate array; HPRC architectures; High-Performance
版次1
doihttps://doi.org/10.1007/978-1-4614-1791-0
isbn_softcover978-1-4939-4310-4
isbn_ebook978-1-4614-1791-0
copyrightSpringer Science+Business Media, LLC 2013
The information of publication is updating

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https://doi.org/10.1007/978-1-4614-1791-0FPGA computing; FPGA configuration; Field-programmable gate array; HPRC architectures; High-Performance
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FPGA-Accelerated Molecular Dynamicstion of MD. We discuss computational techniques and simulation quality and present efficient filtering and mapping schemes. We also discuss overall design, host–accelerator interaction and other board-level issues. We conclude with future challenges and the potential of production FPGA-accelerated MD.
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High-Performance FPGA-Accelerated Real-Time Searcherformance and power measurements obtained from our implementation and a high-performance multithreaded software reference implementation as inputs for an economic cost model, we show that using our technology can reduce the total cost of ownership of data centres for processing data-centric workloads with a factor of 10.
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An FPGA-Based Supercomputer for Statistical Physics: The Weird Case of Janusmetic and bitwise logic operations. Careful tailoring of the architecture to the specific features of these algorithms has allowed us to embed up to 1024 special purpose cores within just one FPGA, so that simulations of systems that would take centuries on conventional architectures can be performed in just a few months.
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High-Performance Cryptanalysis on RIVYERA and COPACOBANA Computing Systemsnected to form an even larger system with 2,560 FPGA per rack. In this chapter, we present a wide range of applications from the fields of cryptanalysis that have been successfully implemented on both architectures.
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ogramming of HPRC systems.Discusses the future of HPRC and sHigh-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 o
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