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.

Bibliographic Information

Book Title: Visualization of Scientific Parallel Programs
Editors: Gerald Tomas, Christoph W. Ueberhuber
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-57738-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1994
Softcover ISBN: 978-3-540-57738-6Published: 28 February 1994
eBook ISBN: 978-3-540-48325-0Published: 29 June 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 314
Topics: Computer System Implementation, Computer Applications, Theory of Computation, Programming Techniques, Software Engineering, Numerical Analysis

Publish with us

Policies and ethics

Visualization of Scientific Parallel Programs

Overview

Access this book

Other ways to access

Table of contents (17 chapters)

Front Matter

Back Matter

Keywords

About this book

Bibliographic Information

Publish with us

Search

Navigation