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Titlebook: Reconfigurable Computing: Architectures, Tools and Applications; Third International Pedro C. Diniz,Eduardo Marques,João M. P. Cardoso Con

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Authentication of FPGA Bitstreams: Why and Howlutions is followed by suggesting a practical one in consideration of the FPGA’s configuration environment constraints. The solution presented here involves two symmetric-key encryption cores running in parallel to provide both authentication and confidentiality while sharing resources for efficient implementation.
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Systematic Customization of On-Chip Crossbar Interconnects has been integrated and prototyped in Virtex-II Pro FPGA using the ESPAM design environment. The experiment shows that the network realizes on-demand traffic patterns, occupies on average 59% less area, and maintains performance comparable with a conventional crossbar.
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Optimized Generation of Memory Structure in Compiling Window Operations onto Reconfigurable Hardwarememory bandwidth while maximizing parallelism. In this paper, we present a universal memory structure for high level synthesis to automatically generate the hardware frames for all window processing applications. Comparing with related works, our approach can enhance the frequency from 69MHZ to 238.7MHZ.
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Architectural Exploration of the ADRES Coarse-Grained Reconfigurable Array. Architecture instances of different sizes and interconnect structures are evaluated with respect to their power versus performance trade-offs. An optimized architecture is derived. A detailed power breakdown for the individual components of the selected architecture is presented.
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MT-ADRES: Multithreading on Coarse-Grained Reconfigurable Architecturean a multi-core approach. This article presents details of the enhanced architecture and results obtained from an MPEG-2 decoder implementation that exploits a mix of thread-level parallelism and instruction-level parallelism.
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Designing Heterogeneous FPGAs with Multiple SBs region of FPGA architecture, we derive a set of corresponding spatial routing information of the applications mapped onto FPGA. We achieved Energy×Delay Product reduction by 55%, performance increase by 52%, reduction in total energy consumption by 8%, at the expense of increase of channel width by 20%.
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