Lectures on Parallel Computing

Erscheinungsjahr 2026
ISBN: 978-3-031-86577-0
Verlag: Springer

Buch, Englisch, 305 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 487 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Träff, Jesper Larsson

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik

Inhaltsverzeichnis

Introduction to Parallel Computing: Architectures and Models, Algorithms and Measures.- Shared Memory Parallel Systems and OpenMP.- Distributed Memory Parallel Systems and MPI.- Appendix A, Proofs and Supplementary Material.- References.- Index.

Über Autor(innen)

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.