Graphics acceleration of composite transformations using reconfigurable computing

Abstract

This paper introduces reconfigurable computing (RC) and specifically chooses one of the prototypes in this field, MorphoSys (M1) from UCI. Mapping of different linear algebraic functions, namely vector-scalar operations, onto this hardware is proposed. A performance analysis study of the M1 RC is also presented to evaluate the efficiency of the algorithm execution on the M1 system. For instance, two algorithms on an 8/spl times/8 RC array M1 were run, and numerical examples were simulated to validate our results, using the MorphoSys mULATE program, which simulates MorphoSys operations.