Qualcomm incorporated (20240411968). MACHINE LEARNING FOR NETLIST DESIGN

MACHINE LEARNING FOR NETLIST DESIGN

Organization Name

qualcomm incorporated

Inventor(s)

Gokce Sarar of San Diego CA (US)

Ryan Michael Carey of Nashua NH (US)

Arnav Ballani of San Diego CA (US)

Bernard Bouron of Sunnyvale CA (US)

Chandram Kotturi of San Diego CA (US)

Chin-Wei Hsu of Zhubei City (TW)

Akshay Sanjay Sarode of Pune (IN)

Romain Lepert of Amsterdam (NL)

Michael Defferrard of Chavannes-sous-Orsonnens (CH)

Onur Atan of San Diego CA (US)

Lindsey Makana Kostas of San Diego CA (US)

MACHINE LEARNING FOR NETLIST DESIGN

This abstract first appeared for US patent application 20240411968 titled 'MACHINE LEARNING FOR NETLIST DESIGN

Original Abstract Submitted

certain aspects of the present disclosure provide techniques and apparatus for evaluating electronic circuit designs. a directed graph representing a netlist design for an electrical circuit is accessed, the netlist design comprising a plurality of electronic components and a plurality of connections among the plurality of electronic components. a node in the directed graph is selected, the node corresponding to a register that receives input from one or more of the plurality of electronic components in the netlist design. a subgraph is generated for the node, based on the directed graph, comprising identifying a connectivity cone ending at the first register. a functional embedding is generated for the subgraph based on a trained encoder machine learning model. a predicted performance characteristic of the netlist design is generated based at least in part on the functional embedding.