An Introduction to Parallel Programming, 2. udgave - Køb den hos Polyteknisk Boghandel

Viser: An Introduction to Parallel Programming

Søgbar e-bog

An Introduction to Parallel Programming Vital Source e-bog

Peter Pacheco og Matthew Malensek

(2021)

Elsevier Science

521,00 kr. 468,90 kr.

Leveres umiddelbart efter køb

An Introduction to Parallel Programming

Peter Pacheco og Matthew Malensek

(2021)

Sprog: Engelsk

Elsevier Science & Technology

640,00 kr. 576,00 kr.

1 stk på lager

Hvor kan jeg afhente varen?

Denne bog er endnu ikke udgivet. Den forventes Nov 2021.

Porto kan blive tilføjet, se takster her

Du kan vælge at få vare sendt eller afhente den i en af vores butikker. Vælger du at få den sendt koster det:

Levering på adressen
1 - 1 vare – kr.	59.5
2 - 5 varer – kr.	59.5
6 - 10 varer – kr.	59.5
11 - 20 varer – kr.	59.5
21 - 49 varer – kr.	79.5
50 - 9999 varer – kr.	119.5

Levering på firma adressen
1 - 1 vare – kr.	39.5
2 - 5 varer – kr.	39.5
6 - 10 varer – kr.	39.5
11 - 20 varer – kr.	39.5
21 - 49 varer – kr.	79.5
50 - 9999 varer – kr.	119.5

Afhent i postbutik eller pakkeboks
1 - 1 vare – kr.	39.5
2 - 5 varer – kr.	39.5
6 - 10 varer – kr.	39.5
11 - 20 varer – kr.	39.5
21 - 49 varer – kr.	59.5
50 - 9999 varer – kr.	99.5

Læs mere om forsendelse her

Detaljer om varen

2. Udgave
Vital Source searchable e-book (Reflowable pages)
Udgiver: Elsevier Science (August 2021)
Forfattere: Peter Pacheco og Matthew Malensek
ISBN: 9780128046180

Beskrivelse
Om e-bogen

An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.

Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples
Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models
A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition:
New chapters on GPU programming and heterogeneous programming
New examples and exercises related to parallel algorithms

Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)

Detaljer om varen

2. Udgave
Paperback: 450 sider
Udgiver: Elsevier Science & Technology (November 2021)
Forfattere: Peter Pacheco og Matthew Malensek
ISBN: 9780128046050

Beskrivelse
Indhold

An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.

As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs.

In edition, this new edition includes coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach student how to compile, run and modify example programs.

Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples
Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs
Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models
Includes a robust package of online ancillaries for instructors and students
Provides lecture slides, a solutions manual, downloadable source code and an image bank

1. Why parallel computing
2. Parallel hardware and parallel software
3. Distributed memory programming with MPI
4. Shared-memory programming with Pthreads
5. Shared-memory programming with OpenMP
6. GPU programming with CUDA
7. Parallel program development
8. Where to go from here