A Practical Approach to High-Performance Computing

1. Auflage 2019
ISBN: 978-3-030-27560-0
Verlag: Springer International Publishing

Buch, Englisch, 206 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 341 g

The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems.

The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Borzunov, Sergei

Kurgalin, Sergei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Hochleistungsrechnen, Supercomputer
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung

Inhaltsverzeichnis

Classification of Computing System Architecture.- Topologies of Computer Networks.- Fundamentals of Parallel Computing.- MPI Technology.- OpenMP Technology.- Implementation of Parallel Algorithms.- App. A, Algorithm Efficiency Estimation Methods.- App. B, Using the Linux Shell for Running Parallel Programs.- App. C, Introduction to the Fourier Transform.- App. D, Answers, Hints, Solutions to Problems.- Bibliography.- Name Index.- Index.

Über Autor(innen)

Sergei Kurgalin and Sergei Borzunov have taught related courses such as Parallel Programming, Technologies of Parallel Computing, Parallel and Grid Technologies, and Parallel Data Processing Algorithms at bachelor's and master's level over many years at Voronezh State University.