Deepmind technologies limited (20250094679). LOW-LEVEL FEEDBACK-GUIDED SCHEDULING FOR HIGH-LEVEL SYNTHESIS
LOW-LEVEL FEEDBACK-GUIDED SCHEDULING FOR HIGH-LEVEL SYNTHESIS
Organization Name
Inventor(s)
Xiaoqing Xu of Mountain View CA US
Christopher Daniel Leary of Sunnyvale CA US
LOW-LEVEL FEEDBACK-GUIDED SCHEDULING FOR HIGH-LEVEL SYNTHESIS
This abstract first appeared for US patent application 20250094679 titled 'LOW-LEVEL FEEDBACK-GUIDED SCHEDULING FOR HIGH-LEVEL SYNTHESIS
Original Abstract Submitted
the technology employs an iterative system of difference constraints (isdc) approach that leverages low-level feedback from downstream tools to iteratively refine scheduling with respect to circuit design high-level synthesis. in each iteration, a number of subgraphs are extracted from an original computation graph and passed to selected downstream tools, e.g., for logic synthesis, placement and/or routing. the downstream tools' compilation results are extracted and fed back to a scheduler. with the feedback, the scheduler recalculates delay estimation between each pair of nodes in the original computation graph and prunes redundant scheduling constraints. as a result, the explorable design space is enlarged in the next iteration, leading to refined scheduling results. this feedback-guided approach is compatible with versatile design constraints and objectives, such as minimizing register usage given a targeted clock period, minimizing the clock period given a constrained area budget, etc., to provide improvements to the system operation.
