Method for designing semiconductor based on grouping macro cells

A computing device for designing a semiconductor, the device comprising:

• at least one processor;
• and
• a memory,
• wherein the at least one processor is configured to:
• acquire connection relationship information between cells to be placed;
• generate two or more macro groups by grouping macro cells included in the connection relationship information;
• and
• place the two or more macro groups in a design area;
• and
• the two or more macro groups are generated based on layer information included in the connection relationship information;
• and
• wherein the placing of the two or more macro groups in the design area includes:
• outputting an action by a reinforcement learning agent including a sub-action of determining a placement position of a macro group to be placed and a sub-action of determining a formation of the macro group to be placed, based on a reward related to a macro group-unit placement, and
• wherein the reward related to the macro group-unit placement is calculated based on at least one of a connection or a congestion between cells computed by considering the placement position and the formation of the macro group to be placed.

A computer program stored in a non-transitory computer-readable storage medium, wherein when the computer program performs operations for designing a semiconductor when executed by at least one processor included in a computing device, and the operations comprising:

• an operation of acquiring connection relationship information between cells to be placed;
• an operation of generating two or more macro groups by grouping macro cells included in the connection relationship information;
• and
• an operation of placing the two or more macro groups in a design area,
• wherein the two or more macro groups are generated based on layer information included in the connection relationship information, and
• wherein the operation of placing of the two or more macro groups in the design area includes:
• an operation of outputting an action by a reinforcement learning agent including a sub-action of determining a placement position of a macro group to be placed and a sub-action of determining a formation of the macro group to be placed, based on a reward related to a macro group-unit placement, and
• wherein the reward related to the macro group-unit placement is calculated based on at least one of a connection or a congestion between cells computed by considering the placement position and the formation of the macro group to be placed.