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書名 Hardware accelerators in data centers / edited by Christoforos Kachris, Babak Falsafi, Dimitrios Soudris
出版項 Cham : Springer International Publishing : Imprint: Springer, 2019
國際標準書號 9783319927923 (electronic bk.)
9783319927916 (paper)
國際標準號碼 10.1007/978-3-319-92792-3 doi
book jacket
說明 1 online resource (ix, 279 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
附註 Introduction -- Building the Infrastructure for Deploying FPGAs in the Cloud -- dReDBox: A Disaggregated Architectural Perspective for Data Centers -- The Green Computing Continuum: The OPERA Perspective -- SPynq: Acceleration of Machine Learning Applications over Spark on Pynq -- M2DC - A Novel Heterogeneous Hyperscale Microserver Platform -- Towards an Energy-aware Framework for Application Development and Execution in Heterogeneous Parallel Architectures -- Enabling Virtualized Programmable Logic Resources at the Edge and the Cloud -- Energy Efficient Servers and Cloud -- Towards Ubiquitous Low-power Image Processing Platforms -- Energy-efficient Heterogeneous COmputing at exaSCALE - ECOSCALE -- On Optimizing the Energy Consumption of Urban Data Centers
This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud computing applications in data centers. The authors present the most recent and promising solutions, using hardware accelerators to provide high throughput, reduced latency and higher energy efficiency compared to current servers based on commodity processors. Readers will benefit from state-of-the-art information regarding application requirements in contemporary data centers, computational complexity of typical tasks in cloud computing, and a programming framework for the efficient utilization of the hardware accelerators. Provides a single-source reference to the state of the art for hardware accelerators in data centers; Describes integrated frameworks for the seamless deployment of hardware accelerators; Includes several use-case scenarios of hardware accelerators for typical cloud computing applications, such as machine learning, graph computation, and databases
Host Item Springer eBooks
主題 Computer architecture
High performance computing
Engineering
Circuits and Systems
Processor Architectures
Signal, Image and Speech Processing
Alt Author Kachris, Christoforos, editor
Falsafi, Babak, editor
Soudris, Dimitrios, editor
SpringerLink (Online service)
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