  The development of Internet wide resources for general purpose parallel
computing poses the challenging task of matching computation and communication
complexity. A number of parallel computing models exist that address this for
traditional parallel architectures, and there are a number of emerging models
that attempt to do this for large scale Internet-based systems like
computational grids. In this survey we cover the three fundamental aspects --
application, architecture and model, and we show how they have been developed
over the last decade. We also cover programming tools that are currently being
used for parallel programming in computational grids. The trend in conventional
computational models are to put emphasis on efficient communication between
participating nodes by adapting different types of communication to network
conditions. Effects of dynamism and uncertainties that arise in large scale
systems are evidently important to understand and yet there is currently little
work that addresses this from a parallel computing perspective.

Distributed, Parallel, and Cluster Computing;Performance