000 02317 a2200361 4500
001 1138894192
005 20250317100413.0
008 250312042018xx 87 eng
020 _a9781138894198
037 _bTaylor & Francis
_cGBP 72.99
_fBB
040 _a01
041 _aeng
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072 7 _aTEC008000
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072 7 _a621.395
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100 1 _aNadia Nedjah
245 1 0 _aReconfigurable and Adaptive Computing
_bTheory and Applications
250 _a1
260 _bChapman and Hall/CRC
_c20180430
300 _a246 p
520 _bReconfigurable computing techniques and adaptive systems are some of the most promising architectures for microprocessors. Reconfigurable and Adaptive Computing: Theory and Applications explores the latest research activities on hardware architecture for reconfigurable and adaptive computing systems. The first section of the book covers reconfigurable systems. The book presents a software and hardware codesign flow for coarse-grained systems-on-chip, a video watermarking algorithm for the H.264 standard, a solution for regular expressions matching systems, and a novel field programmable gate array (FPGA)-based acceleration solution with MapReduce framework on multiple hardware accelerators. The second section discusses network-on-chip, including an implementation of a multiprocessor system-on-chip platform with shared memory access, end-to-end quality-of-service metrics modeling based on a multi-application environment in network-on-chip, and a 3D ant colony routing (3D-ACR) for network-on-chip with three different 3D topologies. The final section addresses the methodology of system codesign. The book introduces a new software–hardware codesign flow for embedded systems that models both processors and intellectual property cores as services. It also proposes an efficient algorithm for dependent task software–hardware codesign with the greedy partitioning and insert scheduling method (GPISM) by task graph.
700 1 _aChao Wang
_4B01
999 _c2552
_d2552