Abstract
The ubiquity of multicore processors in commodity computing systems has raised a significant programming challenge for their effective use. An attractive but challenging approach is automatic parallelization of sequential codes. Although virtually all production C compilers have automatic shared-memory parallelization capability, it is rarely used in practice by application developers because of limited effectiveness. In this paper we describe our recent efforts towards developing an effective automatic parallelization system that uses a polyhedral model for data dependences and program transformations.