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Titlebook: Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures; Mark Wijtvliet,Henk Corporaal,Akash Kumar Book 2022 The Edi

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Conclusions and Future Work,This chapter reviews the work presented in this book. Furthermore, future research paths and extensions to this book are presented.
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https://doi.org/10.1007/978-3-030-79774-4Reconfigurable processors; Reconfigurable computing; Reconfigurable systems; Reconfigurable architectur
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Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures
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The Blocks Framework,e generated based on XML files. These hardware implementations can be synthesized either for functional verification on FPGAs or as a full ASIC implementation. A compiler for Blocks is still in development. However, Blocks can be programmed with a special Assembler language called PASM.
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Energy, Area, and Performance Evaluation,esized and placed and routed using a 40 nm low-power technology node. The results show that Blocks significantly reduces reconfiguration overhead even when compared to an already optimized, but more traditional, CGRA. Blocks reduces reconfiguration energy overhead between 46% and 76% (average 60%).
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Architectural Model,ocks instances. For area, the model has an error margin between −4% and +4% for hard-wired Blocks instances and −2% for reconfigurable instances. For reconfigurable architectures the model execution time is less than eight seconds, whereas a synthesis run takes over two hours to complete. Thus, the
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