Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Principles of high-performance proce...
~
Makino, Junichiro.
Principles of high-performance processor designfor high performance computing, deep neural networks and data science /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Principles of high-performance processor designby Junichiro Makino.
Reminder of title:
for high performance computing, deep neural networks and data science /
Author:
Makino, Junichiro.
Published:
Cham :Springer International Publishing :2021.
Description:
xiv, 160 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Computer architecture.
Online resource:
https://doi.org/10.1007/978-3-030-76871-3
ISBN:
9783030768713
Principles of high-performance processor designfor high performance computing, deep neural networks and data science /
Makino, Junichiro.
Principles of high-performance processor design
for high performance computing, deep neural networks and data science /[electronic resource] :by Junichiro Makino. - Cham :Springer International Publishing :2021. - xiv, 160 p. :ill. (some col.), digital ;24 cm.
Introduction -- Traditional approaches and their limitations -- The lower limit of energy consumption -- Analysis of past and present processors -- "Near-optimal" designs -- Software -- Present, Past and Future.
This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many textbooks on the design of processors we do not have a widely accepted definition of the efficiency of a general-purpose computer architecture. Without a definition of the efficiency, it is difficult to make scientific approach to the processor design. In this book, a clear definition of efficiency is given and thus a scientific approach for processor design is made possible. In chapter 2, the history of the development of high-performance processor is overviewed, to discuss what quantity we can use to measure the efficiency of these processors. The proposed quantity is the ratio between the minimum possible energy consumption and the actual energy consumption for a given application using a given semiconductor technology. In chapter 3, whether or not this quantity can be used in practice is discussed, for many real-world applications. In chapter 4, general-purpose processors in the past and present are discussed from this viewpoint. In chapter 5, how we can actually design processors with near-optimal efficiencies is described, and in chapter 6 how we can program such processors. This book gives a new way to look at the field of the design of high-performance processors.
ISBN: 9783030768713
Standard No.: 10.1007/978-3-030-76871-3doiSubjects--Topical Terms:
183006
Computer architecture.
LC Class. No.: QA76.9.A73 / M35 2021
Dewey Class. No.: 004.22
Principles of high-performance processor designfor high performance computing, deep neural networks and data science /
LDR
:02604nmm a2200325 a 4500
001
607821
003
DE-He213
005
20210820083020.0
006
m d
007
cr nn 008maaau
008
220119s2021 sz s 0 eng d
020
$a
9783030768713
$q
(electronic bk.)
020
$a
9783030768706
$q
(paper)
024
7
$a
10.1007/978-3-030-76871-3
$2
doi
035
$a
978-3-030-76871-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.A73
$b
M35 2021
072
7
$a
UYF
$2
bicssc
072
7
$a
COM011000
$2
bisacsh
072
7
$a
UYF
$2
thema
082
0 4
$a
004.22
$2
23
090
$a
QA76.9.A73
$b
M235 2021
100
1
$a
Makino, Junichiro.
$3
904985
245
1 0
$a
Principles of high-performance processor design
$h
[electronic resource] :
$b
for high performance computing, deep neural networks and data science /
$c
by Junichiro Makino.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xiv, 160 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
Introduction -- Traditional approaches and their limitations -- The lower limit of energy consumption -- Analysis of past and present processors -- "Near-optimal" designs -- Software -- Present, Past and Future.
520
$a
This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many textbooks on the design of processors we do not have a widely accepted definition of the efficiency of a general-purpose computer architecture. Without a definition of the efficiency, it is difficult to make scientific approach to the processor design. In this book, a clear definition of efficiency is given and thus a scientific approach for processor design is made possible. In chapter 2, the history of the development of high-performance processor is overviewed, to discuss what quantity we can use to measure the efficiency of these processors. The proposed quantity is the ratio between the minimum possible energy consumption and the actual energy consumption for a given application using a given semiconductor technology. In chapter 3, whether or not this quantity can be used in practice is discussed, for many real-world applications. In chapter 4, general-purpose processors in the past and present are discussed from this viewpoint. In chapter 5, how we can actually design processors with near-optimal efficiencies is described, and in chapter 6 how we can program such processors. This book gives a new way to look at the field of the design of high-performance processors.
650
0
$a
Computer architecture.
$3
183006
650
0
$a
High performance computing.
$3
211079
650
0
$a
Neural networks (Computer science)
$3
181982
650
1 4
$a
Processor Architectures.
$3
274498
650
2 4
$a
System Performance and Evaluation.
$3
273898
650
2 4
$a
Algorithm Analysis and Problem Complexity.
$3
273702
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-76871-3
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000204728
電子館藏
1圖書
電子書
EB QA76.9.A73 M235 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-76871-3
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login