TY  - BOOK
AU  - Tomas,Gerald
AU  - Ueberhuber,Christoph W.
ED  - SpringerLink (Online service)
TI  - Visualization of Scientific Parallel Programs
T2  - Lecture Notes in Computer Science,
SN  - 9783540483250
AV  - QA76.6-76.66 
U1  - 005.11 23
PY  - 1994///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Software engineering
KW  - Algorithms
KW  - Numerical analysis
KW  - Computer Science
KW  - Programming Techniques
KW  - Software Engineering
KW  - Numerical Analysis
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/3-540-57738-6
ER  -