語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Hardware accelerators in data centers
~
Falsafi, Babak.
Hardware accelerators in data centers
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Hardware accelerators in data centersedited by Christoforos Kachris, Babak Falsafi, Dimitrios Soudris.
其他作者:
Kachris, Christoforos.
出版者:
Cham :Springer International Publishing :2019.
面頁冊數:
ix, 279 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Computer architecture.
電子資源:
http://dx.doi.org/10.1007/978-3-319-92792-3
ISBN:
9783319927923$q(electronic bk.)
Hardware accelerators in data centers
Hardware accelerators in data centers
[electronic resource] /edited by Christoforos Kachris, Babak Falsafi, Dimitrios Soudris. - Cham :Springer International Publishing :2019. - ix, 279 p. :ill., digital ;24 cm.
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.
ISBN: 9783319927923$q(electronic bk.)
Standard No.: 10.1007/978-3-319-92792-3doiSubjects--Topical Terms:
183006
Computer architecture.
LC Class. No.: QA76.9.A73
Dewey Class. No.: 004.35
Hardware accelerators in data centers
LDR
:02737nmm a2200313 a 4500
001
550695
003
DE-He213
005
20180821164954.0
006
m d
007
cr nn 008maaau
008
191014s2019 gw s 0 eng d
020
$a
9783319927923$q(electronic bk.)
020
$a
9783319927916$q(paper)
024
7
$a
10.1007/978-3-319-92792-3
$2
doi
035
$a
978-3-319-92792-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.A73
072
7
$a
TJFC
$2
bicssc
072
7
$a
TEC008010
$2
bisacsh
082
0 4
$a
004.35
$2
23
090
$a
QA76.9.A73
$b
H267 2019
245
0 0
$a
Hardware accelerators in data centers
$h
[electronic resource] /
$c
edited by Christoforos Kachris, Babak Falsafi, Dimitrios Soudris.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
ix, 279 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
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
$a
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.
650
0
$a
Computer architecture.
$3
183006
650
0
$a
High performance computing.
$3
211079
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Circuits and Systems.
$3
274416
650
2 4
$a
Processor Architectures.
$3
274498
650
2 4
$a
Signal, Image and Speech Processing.
$3
273768
700
1
$a
Kachris, Christoforos.
$3
830680
700
1
$a
Falsafi, Babak.
$3
285320
700
1
$a
Soudris, Dimitrios.
$3
468083
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-92792-3
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000164661
電子館藏
1圖書
電子書
EB QA76.9.A73 H267 2019 2019
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-92792-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入