Hybrid Analysis (HA) is a compiler technology
that can seamlessly integrate all static and
run-time analysis of memory references into a
single framework capable of generating sufficient
information for most memory related optimizations.

In this talk, we will present Hybrid Analysis as a framework
to perform automatic parallelization of loops.
For the cases when static analysis does not give conclusive results,
we extract sufficient conditions which are then evaluated
dynamically and can (in)validate the parallel execution of loops.
The HA framework has been fully implemented in the Polaris compiler
and has parallelized 22 benchmark codes with 99% coverage
and speedups superior to the Intel Ifort compiler.