標(biāo)題: Titlebook: Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures; Mark Wijtvliet,Henk Corporaal,Akash Kumar Book 2022 The Edi [打印本頁(yè)] 作者: 投射技術(shù) 時(shí)間: 2025-3-21 16:43
書(shū)目名稱Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures影響因子(影響力)
書(shū)目名稱Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures影響因子(影響力)學(xué)科排名
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書(shū)目名稱Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures被引頻次
書(shū)目名稱Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures被引頻次學(xué)科排名
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書(shū)目名稱Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures讀者反饋
書(shū)目名稱Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures讀者反饋學(xué)科排名
作者: archenemy 時(shí)間: 2025-3-21 22:40 作者: Heart-Attack 時(shí)間: 2025-3-22 00:48 作者: 種植,培養(yǎng) 時(shí)間: 2025-3-22 05:04 作者: 用手捏 時(shí)間: 2025-3-22 09:32 作者: BLOT 時(shí)間: 2025-3-22 16:17
Life the Human Being between Life and Deathf 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作者: Oration 時(shí)間: 2025-3-22 17:50
https://doi.org/10.1007/978-94-017-2081-6ectures 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作者: LUDE 時(shí)間: 2025-3-22 22:50 作者: 朋黨派系 時(shí)間: 2025-3-23 04:45
The Human Face of Mary Shelley’s , The BrainSense platform, a brain–computer interaction platform, is used as a case study for how a reconfigurable architecture like Blocks can be integrated in such a SoC. The BrainSense platform consists of a host processor, an ARM Cortex-M4f, an interconnect, peripherals, and Blocks as an accelera作者: debunk 時(shí)間: 2025-3-23 09:06 作者: 出生 時(shí)間: 2025-3-23 10:11
Conclusions and Future Work,This chapter reviews the work presented in this book. Furthermore, future research paths and extensions to this book are presented.作者: 損壞 時(shí)間: 2025-3-23 17:33
https://doi.org/10.1007/978-3-030-79774-4Reconfigurable processors; Reconfigurable computing; Reconfigurable systems; Reconfigurable architectur作者: 泰然自若 時(shí)間: 2025-3-23 21:33 作者: Stress 時(shí)間: 2025-3-23 23:28
Blocks, Towards Energy-efficient, Coarse-grained Reconfigurable Architectures作者: Dri727 時(shí)間: 2025-3-24 04:48 作者: Outmoded 時(shí)間: 2025-3-24 07:24 作者: bioavailability 時(shí)間: 2025-3-24 14:34 作者: 上坡 時(shí)間: 2025-3-24 16:55
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.作者: Crumple 時(shí)間: 2025-3-24 20:32
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%). 作者: Conducive 時(shí)間: 2025-3-25 03:13
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 作者: CRAB 時(shí)間: 2025-3-25 04:21
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×.作者: 排出 時(shí)間: 2025-3-25 08:50
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.作者: abnegate 時(shí)間: 2025-3-25 11:59 作者: 催眠藥 時(shí)間: 2025-3-25 18:38
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 作者: 涂掉 時(shí)間: 2025-3-25 23:46 作者: anchor 時(shí)間: 2025-3-26 03:26
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作者: DEMN 時(shí)間: 2025-3-26 04:33 作者: Fulminate 時(shí)間: 2025-3-26 12:16 作者: 英寸 時(shí)間: 2025-3-26 12:51
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作者: 清真寺 時(shí)間: 2025-3-26 18:04
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作者: Enteropathic 時(shí)間: 2025-3-26 21:12 作者: Vital-Signs 時(shí)間: 2025-3-27 01:23 作者: Pageant 時(shí)間: 2025-3-27 07:39
Book 2022d in particular of other CGRAs. The book starts with an extensive evaluation of historic and existing CGRAs and their strengths and weaknesses. This also leads to a better understanding and new definition of what distinguishes CGRAs from other architectural approaches...The authors introduce Blocks 作者: antiandrogen 時(shí)間: 2025-3-27 09:49
assification of those CGRAs.Offers a new view on the positio.This book describes a new, coarse-grained reconfigurable architecture (CGRA), called Blocks, and puts it in the context of computer architectures, and in particular of other CGRAs. The book starts with an extensive evaluation of historic a作者: Endometrium 時(shí)間: 2025-3-27 13:43
Service Delivery: Who Can Help?,hitectures discussed in this chapter will be categorized for various metrics, such as energy efficiency and chip area. Based on this classification, the requirements for a very energy-efficient reconfigurable signal processor are determined. These requirements will be used in later chapters to develop such an architecture.作者: 圓木可阻礙 時(shí)間: 2025-3-27 20:22
Housing: Where Do I Go After Prison?,definition depends on the reconfiguration granularity of an architecture in both the temporal and spatial domains. Furthermore, the chapter provides the reader with an overview of the investigated CGRAs and suggests some research topics that could improve CGRAs in the future.作者: 通知 時(shí)間: 2025-3-28 00:43 作者: 大喘氣 時(shí)間: 2025-3-28 04:39
Introduction,hitectures discussed in this chapter will be categorized for various metrics, such as energy efficiency and chip area. Based on this classification, the requirements for a very energy-efficient reconfigurable signal processor are determined. These requirements will be used in later chapters to develop such an architecture.作者: Diluge 時(shí)間: 2025-3-28 06:55 作者: IRK 時(shí)間: 2025-3-28 11:25 作者: 巫婆 時(shí)間: 2025-3-28 16:34
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