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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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21#
發(fā)表于 2025-3-25 04:21:50 | 只看該作者
Case Study: The BrainSense Platform,imized for execution on an accelerator. This restricts the total speed-up to 2.2×. These performance estimates are used to obtain estimated energy numbers for Blocks (as part of the SoC) and show an energy improvement of 2.3×.
22#
發(fā)表于 2025-3-25 08:50:09 | 只看該作者
Life the Human Being between Life and Deathe 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.
23#
發(fā)表于 2025-3-25 11:59:41 | 只看該作者
24#
發(fā)表于 2025-3-25 18:38:22 | 只看該作者
Two Models of Medical Knowledgeocks 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
25#
發(fā)表于 2025-3-25 23:46:01 | 只看該作者
26#
發(fā)表于 2025-3-26 03:26:24 | 只看該作者
Introduction,itecture, such as high performance or high energy efficiency. For this reason, some processors are better suited for a specific set of applications, while another processor may be better in a different situation. This depends on various factors, but one of the main aspects is the type of parallelism
27#
發(fā)表于 2025-3-26 04:33:50 | 只看該作者
28#
發(fā)表于 2025-3-26 12:16:47 | 只看該作者
29#
發(fā)表于 2025-3-26 12:51:20 | 只看該作者
The Blocks Framework,f a compiler suite, an assembler, and possibly some peripheral configuration tools. For a reconfigurable architecture, like an FPGA, applications have to be mapped to physical building blocks on the reconfigurable fabric. Furthermore, these building blocks have to be connected to eat other over an i
30#
發(fā)表于 2025-3-26 18:04:57 | 只看該作者
Energy, Area, and Performance Evaluation,ectures is hard based on numbers in literature. There are various reasons to this: benchmarks are not the same, memories and their interfaces are often not taken into account, architectures are only functionally simulated, and energy numbers are either not mentioned, or it is not clear what is inclu
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