Introduction to Parallel Computing

Erscheinungsjahr 2004
ISBN: 978-0-19-851576-0
Verlag: OUP Oxford

Buch, Englisch, 278 Seiten, Print PDF, Format (B × H): 161 mm x 240 mm, Gewicht: 587 g

In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines, and finally to distributed memory machines.

Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers.

Autoren/Hrsg.

Arbenz, Peter

Petersen, Wesley

Petersen, W. P.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Populärwissenschaftliche Werke
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Mathematik Allgemein

Inhaltsverzeichnis

- 1: Basic issues

- 2: Applications

- 3: SIMD, Single Instruction Multiple Data

- 4: Shared Memory Parallelism

- 5: MIMD, Multiple Instruction Multiple Data

- A: SSE Intrinsics for Floating Point

- B: AltiVec Intrinsics for Floating Point

- C: OpenMP commands

- D: Summary of MPI commands

- E: Fortran and C communication

- F: Glossary of terms

- G: Notation and symbols

Über Autor(innen)

(Institute for Scientific Computing, Department Informatik, ETHZ, Switzerland)