Today's EDA algorithms demand large parallel and heterogeneous computing resources for performance. However, writing parallel EDA algorithms is extremely challenging due to highly complex and irregular patterns. This talk will present a novel programming system to help tackle the parallelization challenges of building high-performance EDA algorithms.