This paper describes a methodology that provides detailed predictive performance
information throughout the software design and implementation cycles. It is structured …

Most performance debugging and tuning of parallel programs is based on the" measure-
modify" approach, which is heavily dependent on detailed measurements of programs …

One of the most popular ways to implement parallel operations on distributed-memory
architectures is with a Master-Worker (MW) organization that concentrates control functions …

This paper introduces an approach which provides quantitative information used to aid in
making system-level design decisions such as algorithmic or architectural selection. The …

The existing infrastructure of modern civilization is based on some utility services, which are
on pay per user basis. As for example, the utility services like water, gas, electricity etc are …

Parallel computing is essential for solving very large scientific and engineering problems. An
effective parallel computing solution requires an appropriate parallel machine and a well …

Predicting the running time of a parallel program is useful for determining the optimal values
for the parameters of the implementation and the optimal mapping of data on processors …

Parallel programs often behave in unexpected ways due to the complex relationship
between the structure of a parallel program, the machine on which it is run, the number of …

The actual performance of parallel programs is often disappointing, especially in
comparison to the peak performance offered by the underlying hardware. There are many …

An approach to the characterisation of parallel systems using a structured layered
methodology is described here. The aim of this is to produce accurate performance …