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Titlebook: Customizable Computing; Yu-Ting Chen,Jason Cong,Bingjun Xiao Book 2015 Springer Nature Switzerland AG 2015

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書目名稱Customizable Computing
編輯Yu-Ting Chen,Jason Cong,Bingjun Xiao
視頻videohttp://file.papertrans.cn/242/241645/241645.mp4
叢書名稱Synthesis Lectures on Computer Architecture
圖書封面Titlebook: Customizable Computing;  Yu-Ting Chen,Jason Cong,Bingjun Xiao Book 2015 Springer Nature Switzerland AG 2015
描述Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this Synthesis lecture, we present an overview and introduction of the recent developments on energy-efficient customizable architectures, including customizable cores and accelerators, on-chip memory customization, and interconnect optimization. In addition to a discussion of the general techniques and classification of different approaches used in each area, we also highlight and illustrate some of the most successful design examples in each category and discuss their impact on performance and energy efficiency. We hope that this work captures the state-of-the-art research and development oncustomizable architectures and serves as a useful reference basis for further research, design, and implementation for large-scale deployment in future computing systems.
出版日期Book 2015
版次1
doihttps://doi.org/10.1007/978-3-031-01748-3
isbn_softcover978-3-031-00620-3
isbn_ebook978-3-031-01748-3Series ISSN 1935-3235 Series E-ISSN 1935-3243
issn_series 1935-3235
copyrightSpringer Nature Switzerland AG 2015
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Introduction,nard scaling of transistors [45]. This scaling calls for for reduction of transistor dimensions by 30% every generation (roughly every two years) while keeping electric fields constant everywhere in the transistor to maintain reliability (which implies that the supply voltage needs to be reduced by
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Preparation for Marrow Transplantationemory hierarchy designs and more sophisticated instruction scheduling and pipelining supports. These factors combined led to over 1,000 times performance improvement of Intel processors in 20 years (from the 1.5_m generation down to the 65 nm generation), as shown in [7].
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