  The task of developing high performing parallel software must be made easier
and more cost effective in order to fully exploit existing and emerging large
scale computer systems for the advancement of science. The Super Instruction
Architecture is a parallel programming platform geared towards applications
that need to manage large amounts of data stored in potentially sparse
multidimensional arrays during calculations. The SIA platform was originally
designed for the Quantum Chemistry software package ACESIII. More recently, the
SIA was reimplemented to overcome limitations in the original ACESIII program.
It has now been successfully employed in the new Aces4 Quantum Chemistry
software package and the development of the atmospheric transport application
MATLOC, thus demonstrating the versatility of the SIA approach. MATLOC
calculates transport and dispersion of mass over regions in the range of
100-1000s of square kilometers and is a significant improvement over existing
community codes. This paper describes results from both the transport and
dispersion application as well as some difficult Quantum Chemistry open shell
coupled cluster benchmark calculations using Aces4.
