Buch, Englisch, Band 771, 314 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1020 g
Buch, Englisch, Band 771, 314 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1020 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-57738-6
Verlag: Springer Berlin Heidelberg
The substantial effort of parallelizing scientific programs is only justified if the resulting codes are efficient. Thus, all types of performance tuning are important to parallel software development. But performance improvements are much more difficult to achieve with parallel programs than with sequential programs. One way to overcome this difficulty is to bring in graphical tools. This monograph covers recent developments in parallel program visualization techniques and tools and demonstrates the application of specific visualization techniques and software tools to scientific parallel programs. The solution of initial value problems of ordinary differential equations, and numerical integration are treated in detail as two important examples.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering Objektorientierte Softwareentwicklung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
Weitere Infos & Material
Visualization tools.- Design goals and techniques.- Available software.- Paragraph.- Parallel IDeC methods.- Performance modelling and evaluation of parallel IDeC methods.- Representative target machines.- Trace file.- IDeC-specific displays.- Shared memory IDeC methods.- Distributed memory IDeC methods.- Parallel integration.- Simulated target machines.- Trace file.- Integration-specific displays.- Visualization of parallel integration algorithms.
