Visualization of Scientific Parallel Programs [electronic resource] / edited by Gerald Tomas, Christoph W. Ueberhuber.

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.

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.