語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Extreme-scale computing = a practical introduction with C++ /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Extreme-scale computing/ by Raymond J. Spiteri, Kyle Klenk.
其他題名:
a practical introduction with C++ /
作者:
Spiteri, Raymond J.
其他作者:
Klenk, Kyle.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xvii, 389 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
High performance computing. -
電子資源:
https://doi.org/10.1007/978-3-031-89033-8
ISBN:
9783031890338
Extreme-scale computing = a practical introduction with C++ /
Spiteri, Raymond J.
Extreme-scale computing
a practical introduction with C++ /[electronic resource] :by Raymond J. Spiteri, Kyle Klenk. - Cham :Springer Nature Switzerland :2025. - xvii, 389 p. :ill. (some col.), digital ;24 cm. - CMS/CAIMS books in mathematics,v. 152730-6518 ;. - CMS/CAIMS books in mathematics ;v. 9..
Part 1 - Extreme Scientific Computing Software Management -- Chapter 1 Linux Command Line -- Chapter 2: Version Control and Repositories -- Chapter 3: Building Software -- Part 2 - Programming Patterns and Modern C++ -- Chapter 4: The C++ Ecosystem -- Chapter 5: Primitive C++ -- Chapter 6: Advanced C++ -- Chapter 7: Modern C++ and guidelines -- Chapter 8: The Standard Template Library.
Scientific computing is essential for tackling complex problems across many domains-but how can scientists develop high-performance and high-quality software that scales efficiently? This book serves as an accessible introduction to extreme-scale computing, specifically designed for domain scientists who may not have formal computer science training but need to harness the power of C++ and parallel computing for large-scale applications. The book begins by covering the fundamentals of scientific computing software management, including essential tools like Linux, Git, and CMake, before diving into a detailed exploration of C++ for extreme-scale computing. Readers familiar with languages like Python will gain the necessary skills to transition to C++ and build scalable, efficient software. Beyond basic programming, this book delves into hardware-aware computing, teaching readers how to optimize software performance by understanding the underlying architecture of modern computational systems. It then introduces parallel computing techniques, covering MPI for distributed memory parallelism, shared memory parallelism, CUDA for GPU programming, and Kokkos for performance portability. Further chapters focus on efficient I/O, debugging, and profiling, which all address aspects of the critical challenge of performance optimization in extreme-scale computing. The book concludes with an overview of popular libraries for extreme-scale computing, equipping readers with the tools they need to solve real-world computational problems. With a balance of theory, practical applications, and illustrative case studies, this book provides domain scientists with a comprehensive roadmap to mastering extreme-scale computing and developing highly parallel and performant software.
ISBN: 9783031890338
Standard No.: 10.1007/978-3-031-89033-8doiSubjects--Topical Terms:
528241
High performance computing.
LC Class. No.: QA76.88
Dewey Class. No.: 004.11
Extreme-scale computing = a practical introduction with C++ /
LDR
:03250nam a2200337 a 4500
001
1166522
003
DE-He213
005
20250806165138.0
006
m d
007
cr nn 008maaau
008
251217s2025 sz s 0 eng d
020
$a
9783031890338
$q
(electronic bk.)
020
$a
9783031890321
$q
(paper)
024
7
$a
10.1007/978-3-031-89033-8
$2
doi
035
$a
978-3-031-89033-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.88
072
7
$a
PBKS
$2
bicssc
072
7
$a
MAT041000
$2
bisacsh
072
7
$a
PBKS
$2
thema
082
0 4
$a
004.11
$2
23
090
$a
QA76.88
$b
.S761 2025
100
1
$a
Spiteri, Raymond J.
$e
editor.
$3
1266790
245
1 0
$a
Extreme-scale computing
$h
[electronic resource] :
$b
a practical introduction with C++ /
$c
by Raymond J. Spiteri, Kyle Klenk.
260
$a
Cham :
$c
2025.
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
300
$a
xvii, 389 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
CMS/CAIMS books in mathematics,
$x
2730-6518 ;
$v
v. 15
505
0
$a
Part 1 - Extreme Scientific Computing Software Management -- Chapter 1 Linux Command Line -- Chapter 2: Version Control and Repositories -- Chapter 3: Building Software -- Part 2 - Programming Patterns and Modern C++ -- Chapter 4: The C++ Ecosystem -- Chapter 5: Primitive C++ -- Chapter 6: Advanced C++ -- Chapter 7: Modern C++ and guidelines -- Chapter 8: The Standard Template Library.
520
$a
Scientific computing is essential for tackling complex problems across many domains-but how can scientists develop high-performance and high-quality software that scales efficiently? This book serves as an accessible introduction to extreme-scale computing, specifically designed for domain scientists who may not have formal computer science training but need to harness the power of C++ and parallel computing for large-scale applications. The book begins by covering the fundamentals of scientific computing software management, including essential tools like Linux, Git, and CMake, before diving into a detailed exploration of C++ for extreme-scale computing. Readers familiar with languages like Python will gain the necessary skills to transition to C++ and build scalable, efficient software. Beyond basic programming, this book delves into hardware-aware computing, teaching readers how to optimize software performance by understanding the underlying architecture of modern computational systems. It then introduces parallel computing techniques, covering MPI for distributed memory parallelism, shared memory parallelism, CUDA for GPU programming, and Kokkos for performance portability. Further chapters focus on efficient I/O, debugging, and profiling, which all address aspects of the critical challenge of performance optimization in extreme-scale computing. The book concludes with an overview of popular libraries for extreme-scale computing, equipping readers with the tools they need to solve real-world computational problems. With a balance of theory, practical applications, and illustrative case studies, this book provides domain scientists with a comprehensive roadmap to mastering extreme-scale computing and developing highly parallel and performant software.
650
0
$a
High performance computing.
$3
528241
650
0
$a
C++ (Computer program language)
$3
528669
650
1 4
$a
Computational Mathematics and Numerical Analysis.
$3
669338
650
2 4
$a
Quantum Computing.
$3
883739
650
2 4
$a
Mathematics of Computing.
$3
669457
700
1
$a
Klenk, Kyle.
$3
1495297
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
CMS/CAIMS books in mathematics ;
$v
v. 9.
$3
1429508
856
4 0
$u
https://doi.org/10.1007/978-3-031-89033-8
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入