Donald Bren School of Information and Computer Sciences
Fine-grain parallelization versus the wavefront method
- Author(s): Aiken, Alexander
- Nicolau, Alexandru
- et al.
We develop a technique for extracting parallelism from ordinary (sequential) programs. The technique combines two fine-grain, instruction level code transformations to achieve effects similar to the wavefront method. Such effects were previously available only as transformations at coarser levels of granularity. By integrating the strengths of the wavefront method with the ability to extract fine-grain, irregular parallelism at the instruction level, our technique exploits previously untapped parallelism.