Hardware Accelerators in Data Centers (Record no. 76915)

000 -LEADER
fixed length control field 03884nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-319-92792-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214929.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180821s2019 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319927923
-- 978-3-319-92792-3
082 04 - CLASSIFICATION NUMBER
Call Number 621.3815
245 10 - TITLE STATEMENT
Title Hardware Accelerators in Data Centers
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 279 p. 107 illus., 88 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Kachris, Christoforos.
700 1# - AUTHOR 2
Author 2 Falsafi, Babak.
700 1# - AUTHOR 2
Author 2 Soudris, Dimitrios.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-92792-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2019.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic circuits.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Microprocessors.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer architecture.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic Circuits and Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Processor Architectures.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing .
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.