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Titlebook: Reconfigurable Computing: Architectures, Tools and Applications; 8th International Sy Oliver C. S. Choy,Ray C. C. Cheung,Kentaro Sano Confe

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书目名称Reconfigurable Computing: Architectures, Tools and Applications
副标题8th International Sy
编辑Oliver C. S. Choy,Ray C. C. Cheung,Kentaro Sano
视频video
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Reconfigurable Computing: Architectures, Tools and Applications; 8th International Sy Oliver C. S. Choy,Ray C. C. Cheung,Kentaro Sano Confe
描述This book constitutes the refereed proceedings of the 8th International Symposium on Reconfigurable Computing: Architectures, Tools and Applications, ARC 2012, held in Hongkong, China, in March 2012. The 35 revised papers presented, consisting of 25 full papers and 10 poster papers were carefully reviewed and selected from 44 submissions. The topics covered are applied RC design methods and tools, applied RC architectures, applied RC applications and critical issues in applied RC.
出版日期Conference proceedings 2012
关键词SoC; high performance computing; manycore architecture; reconfigurable computing; simulated annealing; al
版次1
doihttps://doi.org/10.1007/978-3-642-28365-9
isbn_softcover978-3-642-28364-2
isbn_ebook978-3-642-28365-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2012
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Domain-Specific Language and Compiler for Stencil Computation on FPGA-Based Systolic Computational-M (SCMA). In DSLSC, we can program stencil computations by describing their mathematical form instead of writing explicit procedure optimally. The compiler automatically parallelizes stencil computations for processing elements (PEs) of SCMA, and schedules multiply-and-add operations for PEs consider
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Heterogeneous Systems for Energy Efficient Scientific Computingematically automate finding solutions for such engines that maximize energy efficiency while meeting requirements in throughput and in resource constraints. The proposed approach, based on a linear programming model, enables optimization of system throughput and energy efficiency, and analysis of en
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The Q2 Profiling Framework: Driving Application Mapping for Heterogeneous Reconfigurable Platformst use of different processing elements. Various criteria can drive this mapping, such as computational intensity, memory requirements, and area consumption. In order to facilitate this complex mapping task, there is a clear need for tools that investigate the use of such critical resources, like mem
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PPMC: A Programmable Pattern Based Memory Controllerhe functionality of the memory controller between the external memory and the accelerators is therefore critical. In this paper, we advance toward this goal by proposing PPMC, the Programmable Pattern-based Memory Controller. This controller supports scatter-gather and strided 1D, 2D and 3D accesses
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