| Abstract: | Program unification is a technique for source-to-source transformation of code for enhanced execution performance on vector and SIMD architectures. This work focuses on simple examples of program unification to explain the methodology and demonstrate its promise as a practical technique for improved performance. Using simple examples to explain how unification is done, we outline two experiments in the simulation domain that benefit from unification, namely Monte Carlo and discrete-event simulation. Empirical tests of unified code on a Cray Y-MP multiprocessor show that unification improves execution performance by a factor of roughly 8 for given application. The technique is general in that it can be applied to computation-intensive programs in various data-parallel application domains. |
