Computational modeling using partial differential equations (PDEs) is becoming
an important tool for industry and research. The traditional methods for
developing such models are time consuming and expensive. Newer methods
exploting object oriented and ge nerative techniques are being developed, but
there is a considerable sceptisiscm in the user communities against the new
generation of abstraction based software. One reason for this hesitation is
the need for run-time speed, and it is generally assumed t hat using higher
levels of abstraction in the code entails a high run-time overhead.
In this project we will do a side by side comparison of geophysical solver
software developed using traditional methods and software developed using
algebraic and gener ative SAGA technologies. An important research topic is
then to develop the SAGA tool set to achieve comparable run-time properties
while maintaing the SAGA development effectiveness.