Techniques for integrating parallelizing transformations and compiler-based scheduling methods
Tia M. Watts, Mary Lou Soffa, Rajiv Gupta · Conference on High Performance Computing (Supercomputing) · 1992
Although the tasks of applying transformations and scheduling instructions are typically implemented in separate phases of a parallelizing compiler, interactions between these phases occur. The authors discuss these interdependencies and demonstrate that the separate phase approach can result in the application of a sequence of transformations that is not effective. The techniques presented for integrating these tasks utilize an iterative approach to applying program transformations and scheduling instructions for execution on a multiprocessor. These integrated techniques employ a demand driven approach to applying transformations; by iterating between the scheduling and transforming tasks, transformations are applied to the program only if and where they are needed. The authors also introduce an automatic transformation application and selection algorithm that provides further control over the application of transformations. >