A memory aware high level synthesis tool

We introduce a new approach to take into account the memory architecture and the memory mapping in high-level synthesis for data intensive applications. We formalize the memory mapping as a set of constraints for the synthesis, and defined a memory constraint graph and an accessibility criterion to be used in the scheduling step. We use a memory mapping file to include those memory constraints in our HLS tool GAUT. It is possible, with the help of GAUT, to explore a wide range of solutions, and to reach a good tradeoff between time, power-consumption, and area.