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Lectures on Parallel Computing

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This textbook is intended for an undergraduate course on the fundamentals of parallel computing or as a background and reference for graduate courses on high-performance computing, shared-memory multiprocessor programming, or parallel algorithms.
The author introduces theoretical concepts and tools for expressing, analyzing, and assessing parallel algorithms, and covers in detail the two most widely used concrete frameworks, OpenMP and MPI, plus the threading interface pthreads for writing parallel programs for either shared or distributed memory parallel computers with an emphasis on general concepts and principles. Code examples are given in a C-like style, and the extensive exercises can be used for self-study and as inspiration for small implementation projects in OpenMP and MPI.
The book is appropriate for students and professionals engaged in all aspects of parallel computing.
 

Info autore










Jesper Träff has a Master's in Computer Science and Mathematics and a Ph.D. in Computer Science from the University of Copenhagen. He worked at the European Computer-Industry Research Centre in Munich, the Max Planck Institute for Computer Science, and TU München. After completing his habilitation at the University of Copenhagen, he was scientific coordinator for the EU FP7 project PEPPHER. He was Professor for Scientific Computing at the University of Vienna, he is now Professor for Parallel Computing at TU Wien.


Dettagli sul prodotto

Con la collaborazione di Jesper Larsson Träff (Editore), Jesper Larsson Träff (Editore)
Autori Jesper Larsson Träff
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 01.10.2025
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
 
EAN 9783031865770
ISBN 978-3-0-3186577-0
Numero di pagine 292
Illustrazioni VIII, 292 p.
Dimensioni (della confezione) 15.5 x 1.7 x 23.5 cm
Peso (della confezione) 488 g
 
Serie Lecture Notes in Computer Science
Categorie MPI, Netzwerk-Hardware, Rechnerarchitektur und Logik-Entwurf, Numerische Mathematik, Concurrency, Distributed Computing, Computer Communication Networks, Computational Science and Engineering, Processor Architectures, Special Purpose and Application-Based Systems, Pthreads, parallel computing, multicore systems, memory models, Cilk, OpenMP, PRAM Model, Pipeline Parallelism
 

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