mlsanityData to 7 Oct 2026

NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning

arXiv 2107.07044 ↗First posted 9 Jul 2021cs.LGcited by 7

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Abstract (arXiv)

High quality standard cell layout automation in advanced technology nodes is still challenging in the industry today because of complex design rules. In this paper we introduce an automatic standard cell layout generator called NVCell that can generate layouts with equal or smaller area for over 90% of single row cells in an industry standard cell library on an advanced technology node. NVCell leverages reinforcement learning (RL) to fix design rule violations during routing and to generate efficient placements.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 8 of its 20 references that are in the map. First posted on arXiv 9 Jul 2021.

Builds on

8 of 20 references.

References · 8

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2017Neural Message Passing for Quantum Chemistrycited by 3,460
  3. 2013Playing Atari with Deep Reinforcement Learningcited by 3,211
  4. 2016OpenAI Gymcited by 1,684
  5. 2020Chip Placement with Deep Reinforcement Learningcited by 83
  6. 2019A Deep Reinforcement Learning Approach for Global Routingcited by 20
  7. 2020Attention Routing: track-assignment detailed routing using attention-based reinforcement learningcited by 11
  8. 2020Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networkscited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 3; 2025: 1; 2026: 1.

7 papers.